A reacting approach for design task allocating under resource unavailability

3rd International Conference on Advances in Energy, Environment and Chemical Engineering

能源学;生态环境科学;化学工业

Wei, Meng^1 ; Yang, Yu^1 ; Li, Qiucheng^2

Chongqing University, 174 Shazheng st, Shapingba District, Chongqing

400044, China^1

University of Sheffield, Velocity Tower, APT 146 St Marvs Gate, Sheffield

S1 4LS, United Kingdom^2

关键词: Completion time;    Complex products;    Computational results;    Execution time;    Hybrid genetic algorithms;    Multi objective;    Multi-objective modeling;    Optimal solutions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/69/1/012011/pdf
DOI  :  10.1088/1755-1315/69/1/012011

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Resource unavailability (RU) is inevitable in complex product design (CPD) process, therefore, it is quite difficult to achieve an optimal solution. Based on the controllable characteristic of execution time, a multi-objective model with compressing execution time strategy (CETS) is considered in CPD. There are two stages in this model, in the first stage, we obtain an original allocation with the goal of minimizing completion time. In the second stage, CETS is utilized in response to RU considering the trade-off between compensatory cost and stability. An adaptive multi-objective hybrid genetic algorithm and tabu search (AMOGATS) is developed to solve the first mathematical step, CETS is performed by a basic genetic algorithm (GA). The computational results verify the superiority of hybrid genetic algorithm and proposed strategy.