Zobrazeno 61 - 70
of 1 170
pro vyhledávání: '"Verel A"'
Publikováno v:
Dans Proceedings of the IEEE Congress on Evolutionary Computation CEC2007 - IEEE Congress on Evolutionary Computation CEC2007, singapore : Singapour (2007)
The application of genetic algorithms (GAs) to many optimization problems in organizations often results in good performance and high quality solutions. For successful and efficient use of GAs, it is not enough to simply apply simple GAs (SGAs). In a
Externí odkaz:
http://arxiv.org/abs/0803.4241
Publikováno v:
Dans ACRI 2006 - 7th International Conference on Cellular Automata For Research and Industry - ACRI 2006, France (2006)
We study in detail the fitness landscape of a difficult cellular automata computational task: the majority problem. Our results show why this problem landscape is so hard to search, and we quantify the large degree of neutrality found in various ways
Externí odkaz:
http://arxiv.org/abs/0803.4240
Publikováno v:
Dans Proceedings of the 8th annual conference on Genetic and evolutionary computation - Genetic And Evolutionary Computation Conference, Seatle : \'Etats-Unis d'Am\'erique (2006)
In this paper we introduce a new selection scheme in cellular genetic algorithms (cGAs). Anisotropic Selection (AS) promotes diversity and allows accurate control of the selective pressure. First we compare this new scheme with the classical rectangu
Externí odkaz:
http://arxiv.org/abs/0802.2429
Publikováno v:
Dans Poster at the 2004 European Conference on Artificial Intelligence (ECAI04) - the 2004 European Conference on Artificial Intelligence (ECAI04), Valencia : Espagne (2004)
This paper introduces the concept of fitness cloud as an alternative way to visualize and analyze search spaces than given by the geographic notion of fitness landscape. It is argued that the fitness cloud concept overcomes several deficiencies of th
Externí odkaz:
http://arxiv.org/abs/0709.4010
Publikováno v:
Dans Poster at Genetic and Evolutionary Computation -- GECCO-2006 - Genetic and Evolutionary Computation -- GECCO-2006, Seattle, WA : \'Etats-Unis d'Am\'erique (2006)
This theoretical work defines the measure of autocorrelation of evolvability in the context of neutral fitness landscape. This measure has been studied on the classical MAX-SAT problem. This work highlight a new characteristic of neutral fitness land
Externí odkaz:
http://arxiv.org/abs/0709.4011
Publikováno v:
Theoretical Computer Science 378, 1 (2007) 54-77
In this paper we study cellular automata (CAs) that perform the computational Majority task. This task is a good example of what the phenomenon of emergence in complex systems is. We take an interest in the reasons that make this particular fitness l
Externí odkaz:
http://arxiv.org/abs/0709.3974
Publikováno v:
ECAI'2004 (27/08/2004) 166-170
We proposed a new search heuristic using the scuba diving metaphor. This approach is based on the concept of evolvability and tends to exploit neutrality which exists in many real-world problems. Despite the fact that natural evolution does not direc
Externí odkaz:
http://arxiv.org/abs/0707.0652
Publikováno v:
Evolutionary Computation, 2004. CEC2004 (23/06/2004) 924 - 931
We proposed a new search heuristic using the scuba diving metaphor. This approach is based on the concept of evolvability and tends to exploit neutrality in fitness landscape. Despite the fact that natural evolution does not directly select for evolv
Externí odkaz:
http://arxiv.org/abs/0707.0643
Publikováno v:
Evolutionary Computation, 2003. CEC'03 (08/12/2003) 273--280
Usually the offspring-parent fitness correlation is used to visualize and analyze some caracteristics of fitness landscapes such as evolvability. In this paper, we introduce a more general representation of this correlation, the Fitness Cloud (FC). W
Externí odkaz:
http://arxiv.org/abs/0707.0641
Publikováno v:
Lecture notes in computer science (Lect. notes comput. sci.) ISSN 0302-9743 (27/10/2003) 3-14
Although there are some real world applications where the use of variable length representation (VLR) in Evolutionary Algorithm is natural and suitable, an academic framework is lacking for such representations. In this work we propose a family of tu
Externí odkaz:
http://arxiv.org/abs/0707.0548