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Abstract: In this paper, we introduce the concept of non-dominance (commonly used in multiobjective optimization) as a way to incorporate constraints into the fitness function of a genetic algorithm. Each individual is assigned a rank based on its degree of dominance over the rest of the population. Feasible individuals are always ranked higher than infeasible ones, and the degree of constraint violation determines the rank among infeasible individuals. The proposed technique does not require fine tuning ... (Update)
Context of citations to this paper: More
...present in the population, those individuals will be responsible to keep the diversity required to avoid stagnation. More recently, Coello [23] proposed another approach based on nondominance. In this case, tness is assigned to an individual using the following algorithm: Let...
.... discussed in the previous section are tested on several benchmark problems taken from the standard constraint handling literature [31, 11]. Section 5 discusses the results obtained, and Section 6 provides some conclusions and possible paths for future research. 2 Basic...
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BibTeX entry: (Update)
Carlos A. Coello Coello. Constraint-handling using an evolutionary multiobjective optimization technique. Civil Engineering and Environmental Systems, 17, 319--346, (2000). http://citeseer.ist.psu.edu/article/coello00constrainthandling.html More
@article{ coello00constrainthandling,
author = "Carlos A. {Coello Coello}",
title = "Constraint-handling using an evolutionary multiobjective optimization technique",
journal = "Civil Engineering and Environmental Systems",
volume = "17",
pages = "319--346",
year = "2000",
url = "citeseer.ist.psu.edu/article/coello00constrainthandling.html" }
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1 Efficient Optimization of Space Trusses (context) - Adeli, Kamal - 1986
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