Advances in Metaheuristics for Hard Optimization
Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpos...
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| Other Authors: | , |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Series: | Natural Computing Series,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-540-72960-0 |
Table of Contents:
- Comparison of Simulated Annealing, Interval Partitioning and Hybrid Algorithms in Constrained Global Optimization
- Four-bar Mechanism Synthesis for n Desired Path Points Using Simulated Annealing
- “MOSS-II” Tabu/Scatter Search for Nonlinear Multiobjective Optimization
- Feature Selection for Heterogeneous Ensembles of Nearest-neighbour Classifiers Using Hybrid Tabu Search
- A Parallel Ant Colony Optimization Algorithm Based on Crossover Operation
- An Ant-bidding Algorithm for Multistage Flowshop Scheduling Problem: Optimization and Phase Transitions
- Dynamic Load Balancing Using an Ant Colony Approach in Micro-cellular Mobile Communications Systems
- New Ways to Calibrate Evolutionary Algorithms
- Divide-and-Evolve: a Sequential Hybridization Strategy Using Evolutionary Algorithms
- Local Search Based on Genetic Algorithms
- Designing Efficient Evolutionary Algorithms for Cluster Optimization: A Study on Locality
- Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm
- Evolutionary Generation of Artificial Creature’s Personality for Ubiquitous Services
- Some Guidelines for Genetic Algorithm Implementation in MINLP Batch Plant Design Problems
- Coevolutionary Genetic Algorithm to Solve Economic Dispatch
- An Evolutionary Approach to Solve a Novel Mechatronic Multiobjective Optimization Problem
- Optimizing Stochastic Functions Using a Genetic Algorithm: An Aeronautic Military Application
- Learning Structure Illuminates Black Boxes – An Introduction to Estimation of Distribution Algorithms
- Making a Difference to Differential Evolution
- Hidden Markov Models Training Using Population-based Metaheuristics
- Inequalities and Target Objectives for Metaheuristic Search – Part I: Mixed Binary Optimization.