mutation operator

adding in the mutation operator of pseudo-genetic algorithm speeds up the convergence speed in later optimization stage.

pdf-a new mutation operator and its application _ International Conference on Intelligent Control.

The mutation operator is built into the proposed strategy to maintain population diversity and improve the ability of global exploration.

According to the detector affinity, different mutation operator and evolve strategy were used to evolve detector set.

Adaptive crossover operator and mutation operator are designed to enhance the global search capability of genetic algorithm at starting.

This paper adds mutation operator to adaptive PSO and apply it in the lymphoma morphology parameter classifier problems.

KDH, Particle Swarm Optimization with Mutation Operator e-book particle swarm optimization algorithm.

In the meantime, the mutation operator is brought in the gradient direction to accelerate the algorithm convergence speed.

Based on this new model, an effective crossover and simple mutation operator are designed to generate the feasible offspring directly.

To balance load and increase solutions diversity, tasks balance mutation operator was designed.

The effects of Gauss mutation operator and the Cauchy mutation operator on the improved algorithm were compared.

The amended mutation operator can guarantee the availability of evolution.

The mutation operator defines the procedure for mutating each genome.

In order to quickly obtain the global optimum and local optimum, a hybrid hyper-mutation operator was adopted.

Similarity-based crossover-mutation operator and its application to mining classification rules

Study on Improvement of Mutation Operator in Evolutionary Programming and Evolutionary Strategies

Adopt global optimum gene protect strategies and bring Adaptive mutation operator to speed up algorithm convergence;

Adaptive Mutation Operator Based on Linear Transformation and Its Application to Evolutionary Computation of Robot

A Study on the Particle Swarm Optimization with Mutation Operator Constrained Layout Optimization

Strategy of Designing the Mutation Operator for TSP and its Application

A Particle Swarm Optimization with Step-accelerating Mutation Operator

Application of heuristic max-min ant system with mutation operator to flow shop scheduling problem

Research for a New Method to Define the Mutation Operator

A Novel Genetic Mutation Operator for Maintaining Diversity

Hybrid Artificial Fish Swarm Optimization Algorithm Based on Mutation Operator and Simulated Annealing

Study on the Particle Swarm Optimization with Mutation Operator

Particle Swarm Optimizer with Mutation Operator

Study on a Mutation Operator in Evolving Neural Networks

On the Optimization of Particle Swarm with Mutation Operator

Parallel genetic algorithm based on unoriented-connected topology and the improvement of mutation operator

The Modified Adaptive Mutation Operator

Mechanism Analysis of Mutation Operator Based on Algebraic Crossover Operator

A New Mutation Operator and Optimal Mutation Rate

A PSO with dimension mutation operator

A Study on New Mutation Operator That Can Find Global Optimal