Pareto Optimality of Production Schedules in the Stage of Populations Selection of the MOIA Immune Algorithm

Author:

Paprocka Iwona1,Kalinowski Krzysztof1

Affiliation:

1. Silesian University of Technology

Abstract

In the paper, the problem of achieving Pareto optimal solutions set with application of the elaborated Multi Objectives Immune Algorithm is presented. The Pareto frontier provides a variety of compromise solutions for contradictive criteria to a decision maker. We propose the application of the selection based on the Pareto optimality to maintain solutions with great diversity in an immune memory. Stimulation and suppression mechanisms are used to control the diversity of generated solutions. Computer simulations are done for a job shop scheduling problem.

Publisher

Trans Tech Publications, Ltd.

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-criteria evaluation methods in the production scheduling;IOP Conference Series: Materials Science and Engineering;2016-08

2. Integration of scheduling and discrete event simulation systems to improve production flow planning;IOP Conference Series: Materials Science and Engineering;2016-08

3. Optimizing parameters of a technical system using quality function deployment method;IOP Conference Series: Materials Science and Engineering;2015-11-03

4. Time-series pattern recognition with an immune algorithm;IOP Conference Series: Materials Science and Engineering;2015-11-03

5. Construction typification as the tool for optimizing the functioning of a robotized manufacturing system;IOP Conference Series: Materials Science and Engineering;2015-11-03

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