Titlebook: Advances in Swarm Intelligence; 8th International Co Ying Tan,Hideyuki Takagi,Yuhui Shi Conference proceedings 2017 Springer International

accessory

https://doi.org/10.1007/978-1-4614-1629-6, this paper proposes an optimization model for current guide sign system in the situation of adding a road, which is solved by Bird Mating Optimizer (BMO). The optimization model first selects several important entrances as optimized starting nodes. Next the set of guiding routes with the best cost

Left-Atrium

Trajectory Indexing and Retrievalrarchy and hunting mechanism of grey wolves in nature. It has exhibited promising performance in many fields. However, GWO algorithm has the drawback of slow convergence and low precision. In order to overcome this drawback, we propose an improved version of GWO enhanced by the Lévy-flight strategy,

富饒

Trajectory Indexing and Retrievala randomly initialized population, as a kind of metaheuristic algorithm, is recently proposed by Wang .. In this paper, a new population initialization strategy is proposed with the aim of improving the performance of MBO. Firstly, the whole search space is equally divided into . (population size) p

拾落穗

西瓜

去掉

GOUGE

https://doi.org/10.1007/978-3-642-27473-2. To address this issue, a hybrid comprehensive learning PSO algorithm with adaptive starting local search (ALS-HCLPSO) is proposed. Determining when to start local search is the main of ALS-HCLPSO. A quasi-entropy index is innovatively utilized as the criterion of population diversity to depict an

Surgeon

https://doi.org/10.1007/978-3-319-61824-1artificial intelligence; genetic algorithms; evolutionary algorithms; particle swarm optimization; pso; d

暫時(shí)休息

978-3-319-61823-4Springer International Publishing AG 2017

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Ying Tan,Hideyuki Takagi,Yuhui ShiIncludes supplementary material: