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. An adaptive fireworks algorithm (AFWA) proposes additional adaptive amplitudes to improve the performance of the enhanced fireworks algorithm (EFWA). The research results indicate that OAFWA ranks the highest of the six algorithms for both solution accuracy and runtime cost.Ī fireworks algorithm (FWA) is a recent swarm intelligence algorithm that is inspired by observing fireworks explosions. Additionally, OAFWA was compared with a bat algorithm (BA, differential evolution (DE, self- adapting control parameters in differential evolution (jDE, a firefly algorithm (FA, and a standard particle swarm optimization 2011 (SPSO2011 algorithm. The final results conclude that OAFWA significantly outperformed EFWA and AFWA in terms of solution accuracy. Twelve benchmark functions are tested in use of an opposition- based adaptive fireworks algorithm (OAFWA. 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. An adaptive fireworks algorithm (AFWA proposes additional adaptive amplitudes to improve the performance of the enhanced fireworks algorithm (EFWA. Note We are proud to deliver valuable hands-on experience as part of this training course, using PCR / Rig components.Opposition- Based Adaptive Fireworks Algorithmĭirectory of Open Access Journals (Sweden)įull Text Available A fireworks algorithm (FWA is a recent swarm intelligence algorithm that is inspired by observing fireworks explosions. Group Size 2 days Location This course can be delivered at Bentec´s facility or on-site. Reload PLC in case of data loss Duration 2 days Prerequisites Participants should have a general and basic understanding of electrical principles and should be acquainted with using standard Microsoft Windows applications. Basic knowledge to use the Concept Software. Electricians, Electrical Engineers, Electrical Maintenance Supervisors, Software Engineers, etc.) Description A practical course designed to provide basic knowledge through hands-on training for the Dolog AKF A120/A250 Schneider Software. EL-08 Equipment This course is available for Dolog AKF A120/A250 Schneider Software. Dolog Peter, Engineering Adaptive Web Applications, 527. AEG Software Dolog AKF A120 A250 Version 2 03 0 Ergebnisse.
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