Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Wan-li Xiang"'
Publikováno v:
IEEE Access, Vol 7, Pp 41052-41065 (2019)
Artificial bee colony (ABC) algorithm is widely known for its distinguished exploration ability. However, its exploitation ability is relatively poor. To solve the problem, we propose a novel combinatorial search strategy, whose guided vector can be
Externí odkaz:
https://doaj.org/article/42b792a58d5942d4816c67b1da9a2357
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2014 (2014)
In order to better solve discrete 0-1 knapsack problems, a novel global-best harmony search algorithm with binary coding, called DGHS, is proposed. First, an initialization based on a greedy mechanism is employed to improve the initial solution quali
Externí odkaz:
https://doaj.org/article/11581993a722487aa1cf43d1bc99a5ba
Publikováno v:
IEEE Access, Vol 7, Pp 41052-41065 (2019)
Artificial bee colony (ABC) algorithm is widely known for its distinguished exploration ability. However, its exploitation ability is relatively poor. To solve the problem, we propose a novel combinatorial search strategy, whose guided vector can be
Publikováno v:
Information Sciences. 429:49-71
Artificial bee colony (ABC) algorithm is a relatively new biologically-inspired optimization algorithm. According to its solution search equation, it can be seen that ABC is good at exploration but poor at exploitation. Inspired by the gravity model,
Publikováno v:
Computers & Industrial Engineering. 115:54-68
Artificial bee colony (ABC) is a very popular and powerful optimization tool. However, there still exists an insufficiency of slow convergence in ABC. To further improve the convergence rate of ABC, a novel ABC (CosABC for short) is proposed based on
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2019 (2019)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
Artificial bee colony (ABC) has a good exploration ability against its exploitation ability. For enhancing its comprehensive performance, we proposed a multistrategy artificial bee colony (ABCVNS for short) based on the variable neighborhood search m
Publikováno v:
Computers & Industrial Engineering. 152:107011
Artificial bee colony (ABC) algorithm is one of famous swarm intelligence approaches for continuous optimization. With the help of a solution transformation technique, it can evolve in continuous space but consequences belong to binary space. On the
Publikováno v:
Expert Systems with Applications. 41:5788-5803
In this paper, an improved global-best harmony search algorithm, named IGHS, is proposed. In the IGHS algorithm, initialization based on opposition-based learning for improving the solution quality of the initial harmony memory, a new improvisation s
Publikováno v:
Applied Mathematics and Computation. 238:370-386
Artificial bee colony (ABC) algorithm is one of the most recent swarm intelligence based algorithms which has been proven to be competitive with other population based algorithms. However, there is still an insufficiency in ABC regarding its solution
Autor:
Mei-Qing An, Wan-Li Xiang
Publikováno v:
Computers & Operations Research. 40:1256-1265
Artificial bee colony (ABC) algorithm has already shown more effective than other population-based algorithms. However, ABC is good at exploration but poor at exploitation, which results in an issue on convergence performance in some cases. To improv