Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: overview and progress report
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Publication:1038282
DOI10.1016/j.cor.2009.02.010zbMath1173.90590OpenAlexW1969355111MaRDI QIDQ1038282
Carlos García-Martínez, Manuel Lozano
Publication date: 17 November 2009
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2009.02.010
evolutionary algorithmshybrid metaheuristicsiterated local searchintensification and diversification
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- A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization
- The parallel genetic algorithm as function optimizer
- Evolution strategies. A comprehensive introduction
- Recent advances in memetic algorithms.
- A niche hybrid genetic algorithm for global optimization of continuous multimodal functions
- Genetic and Nelder--Mead algorithms hybridized for a more accurate global optimization of continuous multiminima functions.
- A GA-based fuzzy modeling approach for generating TSK models
- Hybrid evolutionary algorithms.
- Global and local real-coded genetic algorithms based on parent-centric crossover operators
- Image registration with iterated local search
- Iterated local search for the quadratic assignment problem
- COSEARCH: A parallel cooperative metaheuristic
- Local Search Based on Genetic Algorithms
- A Gentle Introduction to Memetic Algorithms
- Variable Neighborhood Search
- Parallel Metaheuristics
- Introduction to evolutionary computing
- Handbook of metaheuristics
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