Genetic algorithm to solve a multi-objective scheduling problem
Mouzon, Gilles C.
Yildirim, Mehmet Bayram
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Mouzon, Gilles & Yildirim, Mehmet B. (2007). Genetic algorithm to solve a multi-objective scheduling problem. In Proceedings : 3rd Annual Symposium : Graduate Research and Scholarly Projects. Wichita, KS : Wichita State University, p.45-46
Energy is expensive and a potential way to reduce energy consumption may be through using intelligent scheduling techniques. In this paper, we propose a genetic algorithm to solve a single machine scheduling problem where the objectives are minimizing total completion time and energy consumption of manufacturing equipment when all of the processing time and release dates of the job are known. This problem has several applications including scheduling in manufacturing industry, energy minimization in computers, cell phones, sensors, etc. Different fitness functions and parameters depending on the problem's characteristics were tested using a design of experiment approach. The proposed methodology generates several pareto optimal solutions. A decision maker can select one of these solutions using Analytical Hierarchical Process.
Paper presented to the 3rd Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 27, 2007.
Research completed at the Department of Industrial and Manufacturing Engineering, College of Engineering