An adaptable optimizer for green component design

Abstract

This paper proposes an adaptive mechanism for improving the availability efficiency of green component design (GCD) process. The proposed approach incorporates a wide range of GCD strategies to increase availability of the recycled/reused/remanufactured components. We have also designed a self-adjusting mechanism to enhance the versatility and generality of a genetic algorithm (GA) to improve GCD availability efficiency. The mechanism allows refinement of the GA parameters for the selections of operators in each generation. Our research contribution includes the development of a novel mechanism for the evaluation of optimal selections of reproduction strategies, adjustment and optimization of the crossover and mutation rates in evolutions, and design of Taguchi Orthogonal Arrays with a GA optimizer. The effectiveness of the proposed algorithms has been examined in a GCD chain. From the experimental results, we can conclude that the proposed approach resulted in better reproduction optimization than the traditional ones.

A Novel Mechanism for Efficient the Search Optimization of Genetic Algorithm

“…The improvement attributes to a novel transformation algorithm that is able to adaptively set crossover and mutation rates as well as optimizes gene relationships based on search states in each generation. This enhances the search capability and can be applied to optimize (Green Product Design; GPD) cost function by generating and evaluating different designs within affordable cost for the suppliers to meet dynamic market demands (Tsai et al 2015). The rest of the paper is organized as follows.…”