Results 131 to 140 of about 426 (167)
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A new monarch butterfly optimization with an improved crossover operator
Operational Research, 2016Recently, by examining and simulating the migration behavior of monarch butterflies in nature, Wang et al. proposed a new swarm intelligence-based metaheuristic algorithm, called monarch butterfly optimization (MBO), for addressing various global optimization tasks.
Gai-Ge Wang +3 more
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A Discrete Monarch Butterfly Optimization for Chinese TSP Problem
2016Recently, Wang et al. proposed a new kind of metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), for global continuous optimization tasks. It has experimentally proven that it has better performance than some other heuristic search strategies.
Gai-Ge Wang +3 more
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A New Monarch Butterfly Optimization Algorithm with SA Strategy
2019Monarch butterfly optimization (MBO) is a newly proposed meta-heuristic algorithm for solving optimization problems. It has been proved experimentally that MBO is superior to the other five state-of-the-art meta-heuristic algorithms on most test problems.
Xitong Wang, Xin Tian, Yonggang Zhang
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Feature selection using binary monarch butterfly optimization
Applied Intelligence, 2022Lin Sun +5 more
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2018
After studying the behavior of monarch butterflies in nature, Wang et al. proposed a new promising swarm intelligence algorithm, called monarch butterfly optimization (MBO), for addressing unconstrained optimization tasks. In the basic MBO algorithm, the fixed butterfly adjusting rate is used to carry out the butterfly adjusting operator. In this paper,
Gai-Ge Wang, Guo-Sheng Hao, Zhihua Cui
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After studying the behavior of monarch butterflies in nature, Wang et al. proposed a new promising swarm intelligence algorithm, called monarch butterfly optimization (MBO), for addressing unconstrained optimization tasks. In the basic MBO algorithm, the fixed butterfly adjusting rate is used to carry out the butterfly adjusting operator. In this paper,
Gai-Ge Wang, Guo-Sheng Hao, Zhihua Cui
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Optimal design of PID controller for an AVR system using monarch butterfly optimization
2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC), 2017In this paper, Monarch Butterfly Optimization Algorithm (MBO) based on migration behavior has been proposed to find best optimal values of PID parameters for the AVR system. This paper describes in detail how to apply the MBO algorithm for proper tuning of the PID controller parameters with objective function as Integral Square Error (ISE).
D. K. Sambariya, Tripti Gupta
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Modified and Hybridized Monarch Butterfly Algorithms for Multi-Objective Optimization
2019This paper presents two improved versions of the monarch butterfly optimization algorithm adopted for solving multi-objective optimization problems. Monarch butterfly optimization is a relatively new swarm intelligence metaheuristic that proved to be robust and efficient method when dealing with NP hard problems.
Ivana Strumberger +4 more
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OPTIMIZING MONARCH BUTTERFLY AND BEE CONSERVATION EFFORTS IN THE URBAN LANDSCAPE
2020Copyright © Adam M.
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