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Original Articles

A Multiobjective Bacterial Foraging Algorithm to Solve the Environmental Economic Dispatch Problem

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Pages 236-247 | Received 18 Feb 2010, Accepted 09 Apr 2010, Published online: 16 Oct 2013

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Carlos Henrique Valério de Moraes, Jonas Lopes de Vilas Boas, Germano Lambert-Torres, Gilberto Capistrano Cunha de Andrade & Claudio Inácio de Almeida Costa. (2022) Intelligent Power Distribution Restoration Based on a Multi-Objective Bacterial Foraging Optimization Algorithm. Energies 15:4, pages 1445.
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Jun Pei, Jinling Wei, Baoyu Liao, Xinbao Liu & Panos M. Pardalos. (2019) Two-agent scheduling on bounded parallel-batching machines with an aging effect of job-position-dependent. Annals of Operations Research 294:1-2, pages 191-223.
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Zita A. Vale & João Soares. 2020. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems 21 37 .
De-gan Zhang, Si Liu, Xiao-huan Liu, Ting Zhang & Yu-ya Cui. (2018) Novel dynamic source routing protocol (DSR) based on genetic algorithm-bacterial foraging optimization (GA-BFO). International Journal of Communication Systems 31:18, pages e3824.
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Lijing Tan, Hong Wang, Chen Yang & Ben Niu. (2017) A multi-objective optimization method based on discrete bacterial algorithm for environmental/economic power dispatch. Natural Computing 16:4, pages 549-565.
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