Advances in Multi-Objective Nature Inspired Computing
The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivati...
Corporate Author: | |
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Other Authors: | , , |
Format: | Electronic |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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Series: | Studies in Computational Intelligence,
272 |
Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-11218-8 |
Table of Contents:
- Multi-Objective Combinatorial Optimization: Problematic and Context
- Approximating Pareto-Optimal Sets Using Diversity Strategies in EvolutionaryMulti-Objective Optimization
- On the Velocity Update in Multi-objective Particle Swarm Optimizers
- Approaching Dynamic Multi-objective Optimization Problems by Using Parallel Evolutionary Algorithms
- ParadisEO-MOEO: A Software Framework for Evolutionary Multi-objective Optimization
- The Multiobjective Traveling Salesman Problem: A Survey and a New Approach
- On the Performance of Local Search for the Biobjective Traveling Salesman Problem
- A Bi-objectiveMetaheuristic for Disaster Relief Operation Planning.