Local search techniques have been applied in optimization methods. The effect of local search to the memetic algorithms can make multimodal and non-linear problems easier to solve. Parameters considered include the effect of population size and recombination mechanisms. Experiments comparing three local search techniques for a memetic algorithm are represent. Further, we have adopted a global parallelization approach that preserves the properties, behavior, and fundamental of the sequential algorithm
International audienceLocal Search metaheuristics are a recognized means of solving hard combinatori...
Abstract Nowadays, large scale optimisation problems arise as a very interesting field of research, ...
International audienceLocal Search metaheuristics are a recognized means of solving hard combinatori...
Memetic algorithmswith continuous local searchmethods have arisen as effective tools to address the ...
AbstractMemetic (evolutionary) algorithms integrate local search into the search process of evolutio...
Memetic algorithms are hybrid schemes that usually inte-grate metaheuristics with classical local se...
Memetic algorithms are hybrid schemes that usually inte-grate metaheuristics with classical local se...
Memetic algorithms, which hybridise evolutionary algorithms with local search, are well-known metahe...
Memetic algorithms (MAs) constitute a search and optimization paradigm based on the orchestrated int...
Abstract: Premature Convergence and genetic drift are the inherent characteristics of genetic algori...
Nature-inspired algorithms are seen as potential tools to solve large-scale global optimization prob...
Although significant development of heuristics for various combinatorial optimization problems has b...
Although significant development of heuristics for various combinatorial optimization problems has b...
Memetic Computing (MC) structures are algorithms composed of heterogeneous operators (memes) for sol...
Local search metaheuristics are a recognized means of solving hard com- binatorial problems. Over th...
International audienceLocal Search metaheuristics are a recognized means of solving hard combinatori...
Abstract Nowadays, large scale optimisation problems arise as a very interesting field of research, ...
International audienceLocal Search metaheuristics are a recognized means of solving hard combinatori...
Memetic algorithmswith continuous local searchmethods have arisen as effective tools to address the ...
AbstractMemetic (evolutionary) algorithms integrate local search into the search process of evolutio...
Memetic algorithms are hybrid schemes that usually inte-grate metaheuristics with classical local se...
Memetic algorithms are hybrid schemes that usually inte-grate metaheuristics with classical local se...
Memetic algorithms, which hybridise evolutionary algorithms with local search, are well-known metahe...
Memetic algorithms (MAs) constitute a search and optimization paradigm based on the orchestrated int...
Abstract: Premature Convergence and genetic drift are the inherent characteristics of genetic algori...
Nature-inspired algorithms are seen as potential tools to solve large-scale global optimization prob...
Although significant development of heuristics for various combinatorial optimization problems has b...
Although significant development of heuristics for various combinatorial optimization problems has b...
Memetic Computing (MC) structures are algorithms composed of heterogeneous operators (memes) for sol...
Local search metaheuristics are a recognized means of solving hard com- binatorial problems. Over th...
International audienceLocal Search metaheuristics are a recognized means of solving hard combinatori...
Abstract Nowadays, large scale optimisation problems arise as a very interesting field of research, ...
International audienceLocal Search metaheuristics are a recognized means of solving hard combinatori...