Title
Reducing The Cycling Problem In Evolutionary Algorithms
Abstract
The aim of this paper is to give a method for reducing the problem of getting trapped in local optima (cycling), which is a common problem in evolutionary algorithms. For solving this problem we are proposing to use a Tabu method for avoiding already visited regions, this in combination with a novel fuzzy method that can handle imperfect knowledge in a broader way than Intuitionistic fuzzy logic does. This fuzzy method can manage non-contradictory, doubtful, and contradictory information provided by experts, providing a mediated solution, so we called it Mediative Fuzzy Logic.
Year
Venue
Keywords
2005
ICAI '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 AND 2
mediative fuzzy logic,HEM,cycling,optimization
Field
DocType
Citations 
Interactive evolutionary computation,Memetic algorithm,Evolutionary acquisition of neural topologies,Human-based evolutionary computation,Evolutionary algorithm,Computer science,Evolutionary computation,Artificial intelligence,Evolutionary programming
Conference
3
PageRank 
References 
Authors
0.56
0
5
Name
Order
Citations
PageRank
Oscar Montiel151838.41
Oscar Castillo25289452.83
Patricia Melin34009259.43
Antonio Rodríguez Díaz412611.51
Roberto Sepúlveda510414.22