Results 151 to 160 of about 2,020,079 (204)

Dynamic economic emission dispatch of combined heat and power system based on multi-objective differential evolution algorithm. [PDF]

PLoS One
Dong T.
europepmc   +1 more source

Oribatid mites like lichens-feeding preferences among three Cladonia species with different chemistry. [PDF]

Sci Rep
Vtípilová V, Pfingstl T, Ghlimová H, Mourek J, Steinová J, Resl P.   +5 more
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OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems. [PDF]

Heliyon
Chintapalli SSN, Singh SP, Frnda J, Bidare Divakarachari P, Sarraju VL, Falkowski-Gilski P.   +5 more
europepmc   +1 more source

Modified effective butterfly optimizer for solving optimal power flow problem. [PDF]

Heliyon
Abaci K, Yetgin Z, Yamacli V, Isiker H.
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Optimizing feature selection in cancer microarray data using a heap-driven evolutionary framework for high-dimensional spaces. [PDF]

Sci Rep
Alweshah M, Jebril H, Kassaymeh S, Almiani M, Alkhalaileh S, Rjoub G.   +5 more
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Utilization of a bioinspired algorithm for optimum reservoir operation in an altering climate a case study of China. [PDF]

Sci Rep
Li Q, Zhou H, Shirzad A.
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Enhanced opposition-based American zebra optimization algorithm for global optimization. [PDF]

Sci Rep
Mohapatra S, Chandran V, Kaliyaperumal D, Mohapatra P.   +3 more
europepmc   +1 more source

Improving Monarch Butterfly Optimization Algorithm With Self-Adaptive Population [PDF]

Algorithms, 2018
Inspired by the migration behavior of monarch butterflies in nature, Wang et al. proposed a novel, promising, intelligent swarm-based algorithm, monarch butterfly optimization (MBO), for tackling global optimization problems. In the basic MBO algorithm, the butterflies in land 1 (subpopulation 1) and land 2 (subpopulation 2) are calculated according to
Zhaoquan Cai
exaly   +4 more sources

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Monarch Butterfly Optimization: A Comprehensive Review

Expert Systems With Applications, 2021
Abstract Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm intelligence metaheuristic algorithm inspired by the migration behavior of monarch butterflies. Through the migration operation and butterfly adjusting operation,
Gai-Ge Wang, Suash Deb, Amir H. Alavi
exaly   +3 more sources

A monarch butterfly optimization for an unequal area facility layout problem

Soft Computing, 2021
Unequal area facility layout problems deal with the placement of departments in a particular area. In these problems, unsettled rectangular-shaped blocks with an aspect ratio limitation are arranged in a given space. This has been widely studied for facility planning design and operating efficiency.
Minhee Kim, Junjae Chae
openaire   +1 more source