搜索资源列表
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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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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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Multiobjective Evolutionary Algorithm
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This file is about a Multiobjective Evolutionary Algorithm
Based on Decomposition
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