Abstract
Evolutionary design is a lifecycle-based incremental and iterative design process. Recent changes in product nature (configurability, programmability, ambient intelligence, adaptability, networkability) provide new opportunities in terms of evolutionary design. Schooling genetic algorithms (SGA) provide a metaheuristic tool that imitate fish schooling dynamics with a genetic algorithms (GA) underpinning. SGA was designed to work on problems where grouping, evolvability, and sustainability are valuable in the solution. In this paper, we first present an evolutionary design concept we call the product life cycle product design (PLPD). Then we apply SGA to product life cycle management following the PLPD concept. The results are presented and more insights derived.
| Original language | English |
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| Title of host publication | Unknown book |
| State | Published - 2014 |