Evolutionary Algorithms for Resource Constrained Project Scheduling Problems: Current Issues & Future Directions

被引：0
|
作者：
Chand, Shelvin [1 ]
机构：
[1] Univ New South Wales, Sch Engn & Informat Technol, Canberra, ACT, Australia
来源：
PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON) | 2016年
关键词：
PARTICLE SWARM OPTIMIZATION; GENETIC ALGORITHM; FORMULATION; HEURISTICS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The resource constrained project scheduling problem(RCPSP) has received wide attention in the last 20 years with a number of evolutionary algorithms being proposed. Most of these algorithms can produce optimal or near optimal solutions in less than a second. However, a close investigation of the literature will reveal a number of questionable benchmarking practices. In this paper I highlight some of these issues together with possible future research directions which are mainly centred around the use of hyper-heuristics.
引用
收藏
页码：2202 / 2204
页数：3
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