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Multiobjective Optimization - Interactive and Evolutionary Approaches - Springer (2008)
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Multiobjective optimization for dynamic environments.
The IEEE Congress on Evolutionary Computation (CEC)
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Develop the NSGA-II or SPEA2 multiobjective evolutionary
algorithms to solve the multiobjective optimization
problems.-Develop the NSGA-II or SPEA2 multiobjective evolutionary
algorithms to solve the multiobjective optimization
problems.
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SPEA2,是一种多目标优化的算法，求可行解集速度比较快！-SPEA2 for multiobjective optimization method， the strength Pareto evolutionary
algorithm2
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多目标优化算法——Set Preference Algorithm for Multiobjective Optimization
-SPAM is a multiobjective evolutionary algorithm to incorporate preference and has been proposed by Eckart Zitzler, Lothar Thiele, and Johannes Bader at the ETH Zurich.
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多目标优化算法——Hypervolume Estimation Algorithm for Multiobjective Optimization
-HypE- Hypervolume Estimation Algorithm for Multiobjective Optimization
HypE is an hypervolume-based multiobjective evolutionary algorithm and has been proposed by Johannes
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多目标优化算法——Epsilon Multiobjective Evolutionary Algorithm
-EPSMOEA is based on the idea of epsilon dominance. The objective space is divided into a grid of boxes and the archive holds only one solution for each non-dominated box.
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MSOPS - Multiple Single Objective Pareto Sampling.
MSOPS is an elitist multiobjective evolutionary algorithm which incorporates a non Pareto-dominance based multiobjective approach.
Author: Tobias Wagner
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ECEA is a multiobjective evolutionary algorithm based on a novel, adaptive implementation of the epsilon-constraint
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ev-MOGA Multiobjective Evolutionary Algorithm has been developed by the Predictive Control and Heuristic optimization Group at Universitat Politècnica de València. ev-MOGA is an elitist multi-objective evolutionary algorithm based on the concept of e
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epsilon multiobjective evolutionary algorithm based code.
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多目标优化算法moea/d算法代码的源代码，遗传算法，进化算法。-Multiobjective Evolutionary Algorithm Based on Decomposition
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ECEA is a multiobjective evolutionary algorithm based on a
novel, adaptive implementation of the epsilon-constraint
method.
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A multiobjective optimization-based evolutionary algorithm for constrained optimiz
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基于分解的多目标进化算法moead 的matlab代码-moead
Multiobjective Evolutionary Algorithm Based on Decomposition
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Multi objective Evolutionary Algorithm
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多目标进化算法框架，包括MOEAD、NSGA2等经典多目标进化算法。-The MOEA Framework is a free and open source Java library for developing and
experimenting with multiobjective evolutionary algorithms (MOEAs) and other
general-purpose multiobjective optimization algorithms. Th
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实现对多目标问题的求解，能够逼近真实的parato前沿面，分布性特别好(MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition)
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MultiObjective evolutionary Problem
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During the past two decades, a variety of
multiobjective evolutionary algorithms (MOEAs) have been
proposed in the literature. As pointed out in some recent studies,
however, the performance of an MOEA can strongly depend on
the Pareto front shap
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