optimization problem

In this paper, we introduce a concept of super efficient solution of the optimization problem for a set-valued mapping.

Simulated results show that there exists an optimization problem between the underground thermal balance and running time of cooling towers.

Robust programming is, as stochastic programming, an attempt to capture uncertainty in the data underlying the optimization problem.

After the primal problem being transferred into a combinatorial optimization problem, genetic algorithm (GA) is designed to solve it.

Values of these parameters mainly affect the stiffness and energy dissipation of damping component. There exists an optimization problem.

As the core of airport operation, aircraft stands assignment(ASA) is known as a kind of large scale combinatorial optimization problem.

And a heuristic evolution-enhanced genetic algorithm is presented to resolve the large-scale combinatorial optimization problem.

is the change in the objective value of the optimal solution of an optimization problem obtained by relaxing the constraint by one unit.

It transforms the source identification problem into the solution of an optimization problem using simulated annealing algorithm.

order picking optimization problem in automated warehouse and a hierarchic genetic algorithm(HGA)is proposed to solve it.

This process can be described as an integrated optimization problem and to solve it by linear programming is a proper option.

As a classical Combinatorial optimization problem, resource-constrained project scheduling problem belongs to NP-Hard puzzle in theory.

Moreover, the switch capability must be respected, which sets constraints for the optimization problem.

This problem is first transformed into a nonlinear optimization problem related to model parameters.

The design procedures were formulated as an optimization problem subject to linear matrix inequalities (LMIs).

Chengdu metro is as the case of solving the optimization problem by MATLAB.

Penalty function method for solving constrained (minimum) optimization problem of a class of better algorithms .

It transformed the parameter selection problem into functional optimization problem by creating a function of the PSO property parameters.

However, the culture algorithm, as a newtype of smart algorithms, owns its unique advantages to solve nonlinear optimization problem.

The filled function method for global optimization problem with both inequality and equality constraints is an even tougher area to tackle.

Formulate the optimization problem. Select and apply an appropriate optimization technique after some initial sampling of the design space.

Distribution network reconfiguration for loss minimization is a complex, large-scale combinatorial optimization problem.

The set-valued optimization problem with constraints is considered in the sense of super efficiency in real normed linear space.

The target function of the optimization problem is a minimum of the cost of materials.

The electrical network reconfiguration of shipboard power system (SPS) is a typical nonlinear combinatorial optimization problem.

Then put forward a new hybrid coding differential evolution algorithm with mapping method to deal with the discrete optimization problem.

In this paper, the constrained optimization problem is discussed to arrive at a general perturbed gradient projection method for solution.

In the multi-objective control framework, the feedback controller can be designed by solving an LMI optimization problem.

The simulation results show that the improved PSO algorithm can solve the high-dimensional numerical optimization problem effectively.

That the thesis studies is one kind of condition in the later , is continuation function optimization problem.

For the application in automobile interiors, this paper studies the nesting optimization problem in leather manufacturing.

Firstly, analyzed the mathematics model and virtual transport network for interval route optimization problem in multimodal transport.

The truck dispatching can be taken as a multivariable optimization problem.

The path packing problem is an optimization problem with many important applications. However, it is NP-hard in computational complexity.

Therefore, the large-scale integrated transport terminal coordination problem is a complex system optimization problem.

This kind of non-linear optimization problem with constraint has been solved in a practical project. The results are reasonable.

Simulation results show that the algorithm is a feasible and effective solution to multi-objective optimization problem.

Two classes of effective methods for solving unconstrained optimization problem are conjugate gradient methods and quasi-Newton methods.

A method was suggested to solve the multidisciplinary optimization problem with uncertainty both in objective function and constraints.

The bilevel programming is an optimization problem which has bilevel hierarchy decision .

The method can solve the equilibrium optimization problem and the results are more proximate to the practical situation.

We resort to a constraint programming approach to formulate and solve the optimization problem.

Furthermore, a convex optimization problem with LMI constraints is formulated to design the optimal guaranteed cost controllers.

Optimal design of batch processes is a complex combinatorial optimization problem with difficulties in solution finding.

Job Shop Scheduling is a difficult combinatorial optimization problem and an improved genetic algorithm is used to solve it.

This paper presents an algorithm combining neural network and evolution strategy to solve the optimization problem in image restoration.

The degree-constrained minimum spanning tree problem is a common network optimization problem In the real world, have many examples of this.

It transforms the inverse problem of parameter identification into solution of optimization problem using evolutionary algorithm.

Logistics and supply chain management in optimization problem is an important research field and hot.

Therefore, the direct collocation method is a viable approach to lunar probe soft landing trajectory optimization problem.

Resource selection, optimization, problem diagnosis, and planning problems often need some style of inference.

Many recent algorithms use the network modularity as quality metric, which turns the Community Detection into an optimization problem.

To high energy consumption of zinc electrolysis process(ZEP), the energy consumption optimization problem is discussed.

provides a general framework to solve the complex system's optimization problem without considering the specific fields of problems.

The immune algorithm referring to immune mechanism has better performance to solving dynamic optimization problem.

Space division particle swarm optimization is proposed to solve the high-dimensional numerical optimization problem in this paper.

The optimal design of the electric power grid structure is a combinatorial optimization problem.

Solution to a Class Optimization Problem By Utilizing the "Hungary Calculate Way"

Distribution shape parameters are estimated from the image, and the resulting maximum likelihood optimization problem is solved.

The mathematical model of multi-objective optimization problem for base station selection and the realization of the process are given.

Hybrid coding differential evolution algorithm is a new effective way for solving the discrete optimization problem.

In this paper, a feasible interior point method is proposed for solving inequality constrained optimization problem.

Not so experienced economist runs his optimization problem and figures out he's better off eating it so he does and collects money.

The production planning of hot rolled strip is a complex combinatorial optimization problem of multi-objective and multi-constraint.

GA is a popular heuristic search technique and has proved superior performance on complex optimization problem.

A method based on the Monte-Carlo simulation and differential evolution algorithm is used for solving the established optimization problem.

A method for solving optimization problem with continuous parameters using ant colony algorithm is presented.

we gain the sufficient conditions of minimal solution and strict minimal solution of set-valued optimization problem.

An efficient barrier conjugate gradient algorithm is developed to solve this optimization problem.

The optimization problem was solved by differential evolution and the constraints were handled by feasibility-based rule.

As for the power system dispatch, the traditional optimization problem is analyzed by using static or dynamic methods.

This thesis deals with gray image. The kernel of segmentation is pixel clustering. It belongs to optimization problem.

Task allocation problem is a typical combinatorial optimization problem.

It's a fundamental mistake to frame scalability as an optimization problem.

The scheduling of grain logistic processes is a combinatorial optimization problem.

The C language resource code of rst-GA is presented in this dissertation to solve multi-stage supply chain optimization problem.

Traveling Salesman Problem (TSP) is a classic combinatorial optimization problem and NP-hard.

In this paper, we prove the existence of G-proper efficient solutions of like-convex multiobjective optimization problem.

To address the optimization problem, a modified artificial immune algorithm was developed.

It's a multi-objective optimization problem for imaging satellite scheduling under uncertainty.

On the basis of the aeroservoelastic analytic model, the mathematical model of the optimization problem is formulated.

Topology optimization of a continuum structure is essentially a 0-1 discrete variable optimization problem.

The graph theory problem basically has two kinds, one is the existence question, and one is optimization problem.

In this paper, a genetic algorithm (GA) is applied to solving the optimization problem of dike layout.

This multi-objective design finally becomes an optimization problem to solve the LMI constraints.

The improved algorithm is applied into one kind of combinational optimization problem of construction order for underground house groups.

The optimality condition for the trajectory optimization problem was analyzed according to optimality theory.

Route optimization problem in multimodal transport directly influences the freightage cost, freightage time and freightage quality.

To solve the multimodal optimization problem the 1D discrete optimization methods, the genetic and Ant Colony algorithms are applied.

Pattern search, another simple and practical method, is also adopted to solve the proposed optimization problem.

Genetic algorithm is applicable in optimization problem of fuzzy controller in nonlinear system.

Fourthly, the globe-element coupling optimization, which is another method to solve the overall-local optimization problem, is expounded.

Spread niche share technology to multiple optimization problem and then study the design of niche size.

The path optimization problem belongs to combinatorial optimization problems, which is solved generally by using heuristic search algorithm.

The multiobjective optimization problem was resolved by weighted-sum approach and genetic algorithm.

However, SVM requires to solve a quadratic optimization problem and its training time is about quadratic to the number training samples.

TSP(Traveling Salesman Problem) is a typical combinational optimization problem.

The static measurement is a nonlinear optimization problem.

Finally, an minimized upper bound is obtained by solving a optimization problem.

It proves that the optimal transmission ranges for all areas is a multi-objective optimization problem(MOP), which is NP hard.

The multi-mode resource-constrained project scheduling problem is a kind of NP-hard combination optimization problem.

We begin our presentation in Section 2 by formulating the stochastic multi-stage optimization problem.

The trust region method is a kind of efficient and robust ways to solve the ordinary unconstrained optimization problem.

QPSO is global convergent and will be a promising solver for complex optimization problem, which is shown by some previous work.

Traveling Salesman Problem(TSP) is a classic combined optimization problem and it is proved that TSP is NP hard.

In Chapter 6, we study higher-order sensitivity in vector optimization problem.

A typical global optimization problem is used to analyze and test it.

In this paper, we can measure the margin by arbitrary norm, and the deduced optimization problem is a linear programming without parameters.

The shop production arrangement, a combinatorial optimization problem, has been solved by many kinds of optimized algorithm recently.

The current status and optimization problem of combined heat & power system for petrochemical plants in China are described briefly.

Through the penalty function method which was improved, the problem was transformed to non-restraint optimization problem. 5.

These are all greedy which are static local optimal algorithm and have typical local optimization problem.

This paper is to study the use of evolutionary algorithms to solve multi-objective optimization problem.

A Multi-Objective Genetic Algorithm for High Dimensionality Optimization Problem and Study of Its Convergence Properties

A improved enumeration method is adopted to solve optimization problem, and a more reasonable structure parameter is obtained;

A Strong Trust Region Algorithm for Linear Inequality Constrained Optimization Problem

The stability of strictly efficient points of set-valued optimization problem in the sense of subdifferential

The Optimality Conditions of Weak Efficient Solutions for the Optimization Problem of a Class of Generalized Convex Set-valued Mapping

Heuristic Algorithm for Solving Resources Constrained Transportation Optimization Problem

The Saddle Point and Duality of Set-valued Optimization Problem in the Sense of Strict Efficiency

Algorithm of layout optimization problem with performance constraints and its convergence

A conjugated gradient type algorithm for optimization problem with linear constraints and its convergence

Multimethod Collaborative Optimization for Function Optimization Problem

Contradictory Relations between the Objects in Multi-Objective Optimization Problem

An Evolutionary Multi-Objective Optimization Algorithm for Single-Objective Optimization Problem with Constraints

Second order sufficient condition for optimization problem of a linear support vector classifier

Method of stochastic neural network method for structural optimization problem and its computer simulation

Empirical Research about a Portfolio Optimization Problem with Multiple Investment Constraints

The Generic Stability of a Class of Optimization Problem with one Parameter

Connectedness of cone-weakly efficient solution sets of multi-objective optimization problem for continuous and quasiconcave functions

Lean Supply Chain Management; Inventory quantity; Joint stock; Inventory control strategy optimization problem;

A Study of Optimization Problem of Neural Network Model and Its Applications

Descending Dimension Algorithm for Nonlinear Optimization Problem with Equality Constraints

The solution of the restricted optimization problem with a fractal

Sufficient and Essential Conditions of Super-linear Convergence for SQP Algorithm in Equality Constrained Optimization Problem

A Generalized Gradient Projection Algorithm with the Fisher Function for Solving the Constrained Optimization Problem

Current Research on Inventory-transportation Integrated Optimization Problem

An Improved Evolutionary Algorithm for Solving Multimodal Function Global Optimization Problem on a Bounded Area

The Multi-object Simulated Annealing Algorithm for the Nonlinear Constraint Optimization Problem

Particle swarm optimization algorithm of equation constrained optimization problem

Solving the oil blend scheduling optimization problem with a multi-step strategy

An Improved Evolutionary Algorithm for Solving Multimodal Function Optimization Problem

Research of Approximating Algorithm for Compensated Two-stage Stochastic Optimization Problem

Perturbed gradient algorithm of unconstrained optimization problem

A Superlinearly Convergent Generalized Gradient Projection Method for Linearly Constrained Optimization Problem

Deterministic Algorithm for a Class of Optimization Problem

Particle Swarm Optimization for the Constrained Optimization Problem

Solve Multiple Parameters Function Optimization Problem with Genetic Algorithm

Application of the Multi-constraints Goal Optimization Problem on Genetic Algorithm

An Optimal Boundary Sequence Method for Finding Weak Efficiency Solution to Multi-Objective Optimization Problem

Application of Improved Particle Swarm Optimization in Power Purchase Model Optimization Problem

Newton Method for Optimization Problem with Equal Constrains Can be Improved

Trust region algorithm for linear inequality constrained optimization problem

Genetic Algorithm for Resolution of the Three-dimensional Multi-bin Packing Optimization Problem in Container Transportation

Approximation of the Cone Efficient Solution for Vector Optimization Problem

Super Paraboloid Method for Solving Unconstrained Optimization Problem

Resource-Leveling Optimization Problem with The Improved Random Search Algorithm

Optimality Conditions for Convex Composite Multiobjective Optimization Problem

Fast Convergent Algorithm for a Class of Optimization Problem

A Virus Evolutionary Genetic Algorithm for Large Product Structure Optimization Problem

Application of Self-adaptive Multiplier in Engineering Optimization Problem

Study of multi-objective optimization problem based on the rough set attribute reduction methodology

The Performance of Discrete Neural Network on Combinatorial Optimization Problem

Intelligent Genetic Algorithm for Global Optimization Problem

A Hybrid Partheno-Genetic Algorithm Approach to a General Resource-Time Optimization Problem

Study of Physical Distribution Routing Optimization Problem Based on Hybrid PSO Algorithm

Complex layout optimization problem: layout scheme design of spacecraft module

A Trust-region Algorithm for Nonlinear Constrained Optimization Problem

An Optimization Problem Arising from Variance Function Estimation

Maximum Entropy Method for A Kind of Two-level Optimization Problem

Solve the Structure Optimization Problem with Pontryagin Max-Value Principle

Niche genetic algorithm to solve multi-modal function global optimization problem

Solution of Constrained Optimization Problem of Inference Rules in Intelligent Systems

QGA A Quantum Genetic Algorithm to Solve Combinatorial Optimization Problem

A Numerical Embedding Method for Solving the Nonlinear Optimization Problem

A New Evolutionary Algorithm for Constrained Optimization Problem

Study on the genetic algorithm and combinatorial optimization problem

Solving time-varying optimization problem using artificial life model

About ACO Algorithm For Hard Combinatorial Optimization Problem

Trust Region Algorithm for Solving Minimax Optimization Problem

Research on the Order Picking Optimization Problem of the Automated Warehouse

A new algorithm for solving inequality constraint optimization problem

A Research Progress of Ant Colony Algorithm for Continuous Optimization Problem

A Method for Solving Optimization Problem in Continuous Space Using Ant Colony Algorithm

Optimization Problem in Embedded Programming

Research on Ant Colony Algorithm for Continuous Optimization Problem

The Fathering Structure Optimization Problem Research in CEO Changes

Research of capital structure optimization problem

A sparse quasi-Newton method for unconstrained optimization problem

Contingent epiderivative of the value map in parametric vector optimization problem of abstract constraint

The Cost Optimization Problem in Double Priority Cell Scheduling Systems

Research on the Application of IPSO in Engineering Optimization Problem

Research on Combinatorial Optimization Problem of Strip Layout of Progressive Die

Discussion on the Optimization Problem of Support Systems of Deep Foundation Pits in Metro Stations

Solve optimization problem of traffic signal timing using Genetic Algorithm

The Duality of the optimization problem in combination

Study on Existence of Noninferior Solution for Multiobjective Optimization Problem

A supermemory Gradient Method for Unconstrained Optimization Problem

A New Genetic Algorithm in Multi-objective Optimization Problem Solving

A New Particle Swarm Algorithm for Multi-Objective Optimization Problem

Proper Efficiency in Vector Set-Valued Optimization Problem

Quasi- Newton Methods for the Optimization Problem

Optimization Problem of Boundary Scan Test Generation Algorithm

A Filled Function Method for Solving Global Optimization Problem

A Method for Solving Optimization Problem in Continuous Space by Using Ant Colony Algorithm

Enumerating problem and optimization problem of shortest path trees

Weak Efficiency in Vector Set-valued Optimization Problem

Research on the Homtop Solution of the Restrained Optimization Problem

A Filled Function Method for Global Optimization Problem

A New Algorithm for Solving Function Optimization Problem

Solving the Fixed Shelf Order-Picking Optimization Problem Using the Modified LK Algorithm

The Optimization Problem of the Headlight Design

The Multi-goal Optimization Problem in Network Project

Last Route-set Method of Transport Route Optimization Problem

Kernel partial least squares based on least squares support vector machine prima l-dual optimization problem

Research on Optimization Problem of Positing Street Lamps

The Analysis of the Optimization Problem of Bank's Daily Stock Fund

Research on One Class of Optimization Problem of the Automated Warehouse Using a New Kind of Hybrid Genetic Algorithm

An Interval Method for Nonsmooth Global Optimization Problem

Discrete optimization problem of machine layout based on swarm intelligence algorithm

Function optimization problem based on genetic algorithm and ant algorithm

A Research on the Optimization Problem of Street Lighting

Derivation of Optimization Problem of Machining Process Based on Mixed Genetic Algorithm

Vector optimization problem of set-valued maps

Solve the Optimization Problem of Unconstrained Function Based on SGA

Study on the Optimization Problem of the Expenditure Structure of Our Country