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Evolutionary Multi-Criterion Optimization进化的多准则优化

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Evolutionary Multi-Criterion Optimization进化的多准则优化

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作 者:LectureNotes in,ComputerScience 著

出 版 社:湖南文艺出版社

出版时间:

I S B N:3540417451

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内容简介

This series reports new developments in computer scicence research and teaching,quikly,informally,and at a high level.The timeliness of a manu-script is more important than its from,which may be unfinished or tentative.The type of material considered for publication includes
-drafts of original papers or monographs.
-technical reports of high quality and broad interest,
-advanced-level lectures,
-reports of meetings,provided they are of exceptional interest and focused on a single topic.
Publication of Lecture Notes is inteded as service to the computer science community in that the publisher Springer-Verlag offers global distribution of documents which would otherwise have a restricted readership.One pub-lished and copyrighted they can be cited in the scientific literature.

作者简介

目录

Tutorials
Some Methods for Nonlinear Multi-objective Optimization
A Short Tutorial on Evolutionary Multiobjective Optimization
Invited Talks
An Overview in Graphs of Multiple Objective Programming
Poor-Definition Uncertainty and Human Factors-Satisfying Multiple Objectives in Ral-World Decisio-Making Environments
Algorithm Improvements
Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
Adapting Weighted Aggregation for Multiobjective Evolution Strategies
Incrementing Multi-objective Evolutionary Algorithms:Performance Studies and Comparisons
A Micro-Genetic Algorithm for Multiobjective Optimization
Evolutionary Algorithms for Multicriteria Optimization with Selecting a Representative Subset of Pareto Optimal Solutions
Multi-objective Optimisation Based on Relation Favour
Performance Assessment and Comparison
Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy
On The Effects of Archiving Elitism and Density Based Selection in Evolutionary Multi-objective Optimization
Global Multiobjective Optimization with Evolutionary Algorithms:Selection Mechanisms and Mutation Control
Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function
A Statistical Comparison of Multiobjective Evolutionary ALgorithms Including the MOMGA-Ⅱ
Performance of Multiple Objective Evolutionary Algorithms on a Distribution System Design Problem-Computational Experiment
Constraint Handling and Problem Decomposition
An Infeasibility Objective for Use in Constrained Pareto Optimization
Reducing LOcal Optima in Single-Objective Problems by Multi-objectiveization
Constrained Test Problems for Multi-objective Evolutionary Optimization
Constraint Method-Based Evolutionary Algorithm(CMEA)for Multiobjective Optimization
Uncertainty and Noise
Pareto-Front exploration with Uncertain Objectives
Evolutionary Multi-objective Banking with Uncertainty and Noise
Hybrid and Alternative Methods
Scheduling
Applications
Author Index

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