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  • Novelty search is a modern approach of solving tasks that are too difficult for conventional evolutionary techniuqes. While this approach is quite successful, it suffers from several issues, most importantly the inability to find precise optimum values. There exists another, multi-objective approach which combines the novelty search with classical fitness-based search. This paper presents a different idea of how to combine novelty and fitness in a single evolutionary algorihm. Two algorithms which accomplish this task are presented, together with results that suggest, that the presented approach is a viable alternative to the already existing multi-objective approach.
  • Novelty search is a modern approach of solving tasks that are too difficult for conventional evolutionary techniuqes. While this approach is quite successful, it suffers from several issues, most importantly the inability to find precise optimum values. There exists another, multi-objective approach which combines the novelty search with classical fitness-based search. This paper presents a different idea of how to combine novelty and fitness in a single evolutionary algorihm. Two algorithms which accomplish this task are presented, together with results that suggest, that the presented approach is a viable alternative to the already existing multi-objective approach. (en)
Title
  • Hybridisation of Novelty And Local Search In Evolutionary Algorithms
  • Hybridisation of Novelty And Local Search In Evolutionary Algorithms (en)
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  • Hybridisation of Novelty And Local Search In Evolutionary Algorithms
  • Hybridisation of Novelty And Local Search In Evolutionary Algorithms (en)
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  • RIV/68407700:21230/14:00217784!RIV15-MSM-21230___
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  • S
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  • 20047
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  • RIV/68407700:21230/14:00217784
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  • Novelty Search; Genetic Algorithms; Memetic Algorithms; Hybrid Algorithms (en)
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  • [4BBFB643D884]
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  • Praha
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  • Prague
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  • POSTER 2014 - 18th International Student Conference on Electrical Engineering
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  • Žegklitz, Jan
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number of pages
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  • České vysoké učení technické v Praze
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  • 978-80-01-05499-4
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  • 21230
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