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This paper presents a new optimization algorithm – MCPSO, multi-swarm cooperative particle swarm optimizer, inspired by the phenomenon of symbiosis in natural ecosystems. MCPSO is based on a master–slave model, in which a population consists of one master swarm and several slave swarms. The slave swarms execute a single PSO or its variants independently to(More)
In this paper, we develop an optimization model for planning the positions of readers in the RFID network based on a novel multi-swarm particle swarm optimizer called PSO. The main idea of PSO is to extend the single population PSO to the interacting multi-swarms model by constructing hierarchical interaction topology and enhanced dynamical update(More)
BACKGROUND Gestational diabetes mellitus (GDM) is one type of diabetes that presents during pregnancy and significantly increases the risk of a number of adverse consequences for the fetus and mother. The microRNAs (miRNA) have recently been demonstrated to abundantly and stably exist in serum and to be potentially disease-specific. However, no reported(More)
and Applied Analysis 3 order to coordinate pattern emerges. In 18 , the proposed CBFO applied two cooperative approaches to the original BFO, namely, the serial heterogeneous cooperation on the implicit space decomposition level and the serial heterogeneous cooperation on the hybrid space decomposition level. In order to improve the BFO’s performance on(More)
Artificial Bee Colony ABC is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. This paper presents an extended ABC algorithm, namely, the Cooperative Article Bee Colony CABC , which significantly improves the original ABC in solving complex optimization problems. Clustering is a popular data(More)
Data clustering is a popular data analysis technique needed in many fields. Recent years, some swarm intelligence-based approaches for clustering were proposed and achieved encouraging results. This paper presents a Hybrid Artificial Bee Colony (HABC) algorithm for data clustering. The incentive mechanism of HABC is enhancing the information exchange(More)
Article Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. This paper presents a variation on the original ABC algorithm, namely the Cooperative Article Bee Colony (CABC), which significantly improves the original ABC in solving complex optimization problems. In this work, CABC(More)
Aiming at the limitations of LEACH, PEGASIS and PEDAP, we present a multi-layer energy-efficient and delay-reducing chain-based data gathering protocol (MEDC) for wireless sensor network, under consideration of the characteristics of wireless sensing traffic monitoring network (WSTMN) such as band monitoring area, high-speed target, long-distance base(More)
A hybrid strategy base on ant colony and taboo search algorithms is proposed for fuzzy job shop scheduling purpose, which uses the ant colony algorithm as a global search algorithm, and adopt taboo search algorithms as a local search algorithm. TS algorithms have stronger ability of the local search, which can overcome the disadvantages of ant colony(More)