Optimization of Allocation and Noise Reduction on Multi-Noises System by Using Genetic Algorithm

Abstract

An optimization of a layout plan and noise reduction on multi-noises system is considered. In this paper, a novel approach, a genetic algorithm (GA) based on the principles of natural biological evolution, is used as an optimizer. [1] By GA optimization in adjusting the locations and the required noise reduction for each piece of noisy equipment, the deviation with respect to the targeted noise value along the system's boundary line specified by EPA (Environment Protection Authority) can thus be minimized. In addition, the techniques of binary genetic algorithms (BGA), reproduction, crossover mutation and elitism are applied in GA searching. The numerical cases of multi-noise systems are exemplified. Results show that the correctness of the GA method is acceptable. The optimal design of noise control by adjusting the location and choosing the proper noise reduction measures on equipment proposed in this study offers a quick and economic approach.