Results 21 to 30 of about 9,168 (188)
BQIABC: A new Quantum-Inspired Artificial Bee Colony Algorithm for Binary Optimization Problems [PDF]
Journal of Artificial Intelligence and Data Mining, 2018 Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the intelligent behavior of honey bees when searching for food sources.
F. Barani, H. Nezamabadi-pour
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Journal of Marine Science and Engineering, 2022 A growing number of researchers are interested in deploying unmanned surface vehicles (USVs) in support of ocean environmental monitoring. To accomplish these missions efficiently, multiple-waypoint path planning strategies for survey USVs are still a ...
Shaolong Yang +3 more
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A novel hybrid algorithm for mean-CVaR portfolio selection with real-world constraints [PDF]
, 2014 In this paper, we employ the Conditional Value at Risk (CVaR) to measure the portfolio risk, and propose a mean-CVaR portfolio selection model. In addition, some real-world constraints are considered.
A. Yoshimoto +13 more
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Discrete Artificial Bee Colony Optimization Algorithm for Financial Classification Problems
International Journal of Applied Metaheuristic Computing, 2011 Nature-inspired methods are used in various fields for solving a number of problems. This study uses a nature-inspired method, artificial bee colony optimization that is based on the foraging behaviour of bees, for a financial classification problem.
Μαρινακης Ιωαννης(http://users.isc.tuc.gr/~imarinakis) +7 more
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Applied Sciences, 2019 Based on the finite difference method and the artificial bee colony algorithm, the thermal conductivity in the two-dimensional unsteady-state heat transfer system is deduced. An improved artificial bee colony algorithm (IABCA), that artificial bee colony
Liangliang Yang, Bojun Sun, Xiaogang Sun
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A hybrid discrete Artificial Bee Colony - GRASP algorithm for clustering
2009 International Conference on Computers & Industrial Engineering, 2009 This paper presents a new hybrid algorithm, which is based on the concepts of the Artificial Bee Colony (ABC) and Greedy Randomized Adaptive Search Procedure (GRASP), for optimally clustering N objects into K clusters. The proposed algorithm is a two phase algorithm which combines an Artificial Bee Colony Optimization algorithm for the solution of the ...
Ματσατσινης Νικολαος(http://users.isc.tuc.gr/~nmatsatsinis) +5 more
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Is swarm intelligence able to create mazes? [PDF]
, 2015 In this paper, the idea of applying Computational Intelligence in the process of creation board games, in particular mazes, is presented. For two different algorithms the proposed idea has been examined.
Napoli, Christian +3 more
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Research on spectrum scheduling based on discrete artificial bee colony algorithm
Journal of Physics: Conference Series, 2021 Abstract With the increasing shortage of spectrum resources on the earth, how to ensure the high-quality transmission of satellite wireless signals to the ground has become one of the most important problems in the current satellite ground communication system.
Ying Xiao, Dianjun Chen, Lu Yong Zhang
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Mathematics, 2021 In this era of unprecedented economic and social prosperity, problems such as energy shortages and environmental pollution are gradually coming to the fore, which seriously restrict economic and social development. In order to solve these problems, green
Mei Li, Gai-Ge Wang, Helong Yu
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Artificial bee colony algorithm with time-varying strategy [PDF]
, 2015 Artificial bee colony (ABC) is one of the newest additions to the class of swarm intelligence. ABC algorithm has been shown to be competitive with some other population-based algorithms.
Cheng, Shi +4 more
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