publication . Article . Other literature type . 2016

Opposition-Based Adaptive Fireworks Algorithm

Chibing Gong;
Open Access
  • Published: 08 Jul 2016 Journal: Algorithms, volume 9, page 43 (eissn: 1999-4893, Copyright policy)
  • Publisher: MDPI AG
Abstract
A fireworks algorithm (FWA) is a recent swarm intelligence algorithm that is inspired by observing fireworks explosions. An adaptive fireworks algorithm (AFWA) proposes additional adaptive amplitudes to improve the performance of the enhanced fireworks algorithm (EFWA). The purpose of this paper is to add opposition-based learning (OBL) to AFWA with the goal of further boosting performance and achieving global optimization. Twelve benchmark functions are tested in use of an opposition-based adaptive fireworks algorithm (OAFWA). The final results conclude that OAFWA significantly outperformed EFWA and AFWA in terms of solution accuracy. Additionally, OAFWA was co...
Subjects
free text keywords: Swarm intelligence, Differential evolution, Bat algorithm, Mathematics, Firefly algorithm, Artificial intelligence, business.industry, business, Fireworks, Global optimization, Boosting (machine learning), Particle swarm optimization, Mathematical optimization, opposition-based learning, fireworks algorithm, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95
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publication . Article . Other literature type . 2016

Opposition-Based Adaptive Fireworks Algorithm

Chibing Gong;