global optimal

Simulation result show that this modeling method is relatively simple and can effectively find the global optimal path.

Aiming to solve out the pre-mature convergence phenomenon, the chaos mutation is introduced into PSO for improving global optimal ability.

The resulting multi-kernel SVDD could be expressed as an SDP problem, so it could be solved with the global optimal solution.

The genetic algorithm was applied to solve the model, which makes sure that the solution is global optimal.

Therefore, optimizing weight retaining wall design to meet the global optimal solution becomes more important.

The codebook generated by the proposed algorithm is closer to global optimal. The validity is proved by the simulation result.

The result implies that the new algorithm improves the convergence, provides the global optimal search guarantee and feasibility.

It also helps to judge if the optimal solution is global optimal solution according to its position in the design space.

For different initial population, the global optimal solution can be found.

The experimental results demonstrate that genetic algorithm can find global optimal solution quickly.

The global optimal segmentation can be efficiently computed via graph cuts.

The theoretical analysis shows that the proposed algorithm converges to the global optimal set at a probability of 1.

A new global optimal algorithm is presented to solve linear programming problems with nonlinear constraints.

The global optimal disparity was derived from solving the maximum flow and minimum cut of the network.

This algorithm can adjust parameters automatically in the optimization process to find the global optimal solution.

The result shows GA is an effective approach to obtain the global optimal cycle in limited time.

As a result, the searching direction is fixed and the global optimal compensation point can be reached quickly.

A proper cost function is minimized to acquire the global optimal match by using the algorithm of dynamic programming.

Necessary and sufficient condition for the global optimal solutions of nonlinear programming and its algorithm models

Existence and Global Optimal Asymptotic Behaviour of Large Solutions to a Semilinear Elliptic Problem

On the Global Optimal Theory of the Outer-Supervised Learning Feedforward Neural Networks

Simulated Annealing Algorithm for Global Optimal Translation Sequence in Rough Communication

Global Optimal Algorithm for Linear Programming Problems Subjected to Nonlinear Constraints

Global optimal algorithm for nonlinear programming problems subjected to linear constraints

Simulated Annealing Algorithm for Global Optimal Problem Subjected to Linear Constraints

The Global Optimal Algorithm Design and Implementation for Three Levels Pump Configuration Problem

The Approximate Global Optimal Solution for Some Constrained Programming Problems

using simulated annealing algorithm in which LBG algorithm is nested to build the global optimal codebook;

Global Optimal Conditions with Inequality constraints

The characters of global optimal solutions of convex function in infinite dimension space

Fractal algorithm for finding nonlinear global optimal solution

A type of adaptive genetic algorithm for global optimal of nonlinear function

An Efficient Global Optimal Method Based On Evolutionary Algorithm For Nonlinear Bilevel Programming

A Global Optimal Image Segmentation Method Using Level Sets

New Algorithm on Seeking Global Optimal Solutions

Simulation of Global Optimal Flight Path Planning for UAV

Global optimal solution found at iteration

A global optimal method based on effective extreme point for bilevel linear programming

A kind of global optimal algorithm for the sum of generalized nonlinear ratios

A Study on New Mutation Operator That Can Find Global Optimal