The resource allocation model for multi-process instances based on particle swarm optimization
作者： Weidong Zhao , Qingfeng Zeng , Guangjian Zheng , Liu Yang
DOI: 10.1007/S10796-017-9743-5
关键词:
摘要: Resource allocation in process management focuses on how to maximize performance via proper resource since the quality of determines outcome. In order improve allocation, this paper proposes a method, which is based improved hybrid particle swarm optimization (PSO) multi-process instance environment. Meanwhile, new model put forward, can optimize problem reasonably. Furthermore, some improvements are made streamline effectiveness so as enhance scheduling results. end, experiments conducted demonstrate proposed method.
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