An algorithm for planning collision-free paths among polyhedral obstacles
Communications of the ACM
Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
Concept-based multi-objective problems and their solution by EC
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Interactive evolutionary multiobjective search and optimization of set-based concepts
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
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This paper deals with the problem of selecting and ordering a pre-defined number of conceptual solutions (concepts) out of a given finite set of candidate concepts. The process involves human intervention which allows the inclusion of un-modeled considerations, as well as the saving of computational resources. To support human intervention special visualization elements are developed. The proposed interactive method is demonstrated on a path planning problem using the method of Evolution Strategies.