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Can I read Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems on EtoBox?
Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems by Kalyanmoy Deb is a Computer Science article available to read on EtoBox.
What is Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems about?
In this paper, we study the problem features that may cause a multi-objective genetic algorithm (GA) difficulty in converging to the true Pareto-optimal front. Identification of such features helps us develop difficult test problems for multi-objective optimization. Multi-objective test problems are constructed from single-objective optimization problems, thereby allowing known difficult features of single-objective problems (such as multi-modality, isolation, or deception) to be directly transferred to the corresponding multi-objective problem. In addition, test problems having features specific to multi-objective optimization are also constructed. More importantly, these difficult test problems will enable researchers to test their algorithms for specific aspects of multi-objective optimization.
Who reads Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Kalyanmoy Deb
- Publisher
- MIT Press - Journals
- Published
- 1999
- Language
- EN
- Field
- Computer Science (Physical Sciences)