Meeting abstract
TOWARDS A UNIFIED VIEW OF METAHEURISTICS
El-Ghazali Talbi
; Polytech' Lille, Universty of Lille, France
Abstract
This talk provides a complete background on metaheuristics and presents in a unified view the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. The key search components of metaheuristics are considered as a toolbox for:
- Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems.
- Designing efficient metaheuristics for multi-objective optimization problems.
- Designing hybrid, parallel and distributed metaheuristics.
- Implementing metaheuristics on sequential and parallel machines.
Keywords
metaheuristics; multi-objective optimization problems; designing hybrid; parallel and distributed metaheuristics
Hrčak ID:
97371
URI
Publication date:
1.2.2013.
Visits: 1.316 *