Results 21 to 30 of about 4,881 (168)
Improved Artificial Bee Colony Algorithm Based on Multi-Strategy Synthesis for UAV Path Planning
IEEE Access, 2022 Path planning is the key for unmanned aerial vehicle (UAV) to perform tasks efficiently, which needs to quickly obtain the optimal path in the complex environment.
Siqi Lin +4 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Training ANFIS using artificial bee colony algorithm
2013 IEEE INISTA, 2013 This paper introduces a new approach for training the adaptive network based fuzzy inference system (ANFIS). In this study, we apply one of the swarm intelligent branches, named artificial bee colony algorithm (ABC) for training. We use ABC for training the antecedent parameters and the conclusion parameters.
Kaya, Ebubekir, KARABOĞA, Derviş
openaire +3 more sources
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
doaj +1 more source
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.
openaire +1 more source
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
doaj +1 more source
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.
Aydin, Mehmet Emin, Durgut, Rafet
openaire +1 more source
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
doaj +1 more source
Artificial bee colony algorithm variants on constrained optimization
An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 2017 Optimization problems are generally classified into two main groups:unconstrained and constrained. In the case of constrainedoptimization, special techniques are required to handle withconstraints and produce solutions in the feasible space. Intelligentoptimization techniques that do not make assumptions on the problemcharacteristics are preferred to ...
KARABOĞA, Derviş, AKAY, Bahriye
openaire +2 more sources