Piezoelectric transducer optimized design based on Multi-objective evolutionary algorithms;

The simultaneous localization and mapping problem with evolutionary algorithms is translated to a multi-objective optimization problem since it inherently possesses of multi-objective characters,and in order to efficiently solve the simultaneous localization and mapping problem with multi-objective evolutionary algorithms,a local searcher with immunity is constructed.

Research of quantum-inspired multi-objective evolutionary algorithm;

A Multi-Objective Evolutionary Algorithm Based on Spatial Distance

Mechanism of social welfare distribution based on multi-objective evolutionary algorithm in electricity market

This paper analyzes the characteristics and shortcomings of Multi-Objective Evolutionary Algorithm(MOEA) methods,and introduces a method to evaluate the diversity of non-dominated solutions in new coordinates,which avoids the influence because of distinct extent of convergence to the diversity evaluation,and the new objective space is divided into some equal regions.

The key of Multi-Objective Evolutionary Algorithm(MOEA) is how to keep diversity of solutions.

Searching for Robust Pareto Optimal Solutions for MOPs with MOEA

Many Multi-Objective Evolutionary Algorithms (MOEAs are proposed at present.

In this paper,a Multi-Objective Evolutionary Algorithm based on Pareto optimality and Limited Elitist(LEMOEA) is proposed which is based on NSGA-II.

Mixed H_2/H_∞ optimal control based on multiobjective evolutionary algorithm;

Multiobjective Evolutionary Algorithms and Their Applications;

For separating source signals efficiently, a nonlinear blind separation algorithm based on specific-designed multiobjective evolutionary algorithm is proposed.