publication . Article . Preprint . Other literature type . 2015

A cooperative framework for fireworks algorithm

Junzhi Li;
  • Published: 30 Apr 2015
This paper presents a cooperative framework for fireworks algorithm CoFFWA. A detailed analysis of existing fireworks algorithm FWA and its recently developed variants has revealed that $i$ the current selection strategy has the drawback that the contribution of the firework with the best fitness denoted as core firework overwhelms the contributions of all other fireworks non-core fireworks in the explosion operator, $ii$ the Gaussian mutation operator is not as effective as it is designed to be. To overcome these limitations, the CoFFWA is proposed, which significantly improves the exploitation capability by using an independent selection method and also increa...
free text keywords: Computer Science - Neural and Evolutionary Computing, Biotechnology, Genetics, Applied Mathematics, Mathematical optimization, Differential evolution, Convergence (routing), Algorithm design, Fireworks, Artificial intelligence, business.industry, business, Machine learning, computer.software_genre, computer, Genetic algorithm, Swarm intelligence, Operator (computer programming), Particle swarm optimization, Computer science
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publication . Article . Preprint . Other literature type . 2015

A cooperative framework for fireworks algorithm

Junzhi Li;