Results 21 to 30 of about 5,089 (182)
A novel strategy for pairwise test suite generation
上海师范大学学报. 自然科学版, 2020 A new pairwise hybrid artificial bee colony(PHABC)strategy based on artificial bee colony(ABC)algorithm and particle swarm optimization(PSO) algorithm was proposed in this paper.
DING Huaibao
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Application of the Artificial Bee Colony Algorithm for Solving the Set Covering Problem
The Scientific World Journal, 2014 The set covering problem is a formal model for many practical optimization problems. In the set covering problem the goal is to choose a subset of the columns of minimal cost that covers every row.
Broderick Crawford +3 more
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Optimized Artificial Bee Colony Algorithm with Markov Chain
Jisuanji kexue yu tansuo, 2020 The shortcomings of the artificial bee colony algorithm (ABC) and its improved algorithm are analyzed. This paper proposes the improved Markov ABC (IMABC) dividing the ABC algorithm into two stages by verifying the Markov property of the artificial bee ...
GUO Jia, MA Chaobin, ZHANG Shaobo, MIAO Mengmeng
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Zhongguo Jianchuan YanjiuObjectiveThe artificial bee colony (ABC) algorithm has such characteristics as few control parameters, strong local optimization ability and fast convergence speed.
Tieli LI +4 more
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Artificial bee colony algorithm
Scholarpedia, 2010 Artificial Bee Colony (ABC) algorithm is a powerful optimization algorithm that simulates the task division and self-organization abilities of honey bees in their foraging activity. ABC algorithm has attracted the attention of researchers and has been applied to many problems in various fields successfully.
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Application of Artificial Bee Colony Algorithm for timing of Road Entrance Signal
MATEC Web of Conferences, 2018 Aiming at the problem of signal timing at road intersections, this paper uses the artificial bee colony algorithm to optimize the road model of single point multi phase intersection.
Chen Ming-xia, Zhang Han, Li Xu-yong
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Adaptive binary artificial bee colony algorithm
Applied Soft Computing, 2021 Metaheuristics and swarm intelligence algorithms are bio-inspired algorithms, which have long standing track record of success in problem solving. Due to the nature and the complexity of the problems, problem solving approaches may not achieve the same success level in every type of problems.
Rafet Durgut, Mehmet Emin Aydin
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From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
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Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 2021 As the size of the optimization problems grows, it becomes more difficult to solve. Swarm intelligence algorithms can be used to tackle these problems. One of the swarm intelligence algorithms is the Artificial Bee Colony (ABC) algorithm.
Doğan AYDIN, Ümit GÜVEN
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Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
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