Name
Title | ||
|---|---|---|
The Human Evolutionary Model: A New Approach For Solving Nonlinear Optimization Problems Avoiding The Problem Of Cycling |
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 |
|---|---|---|
2006 | ENGINEERING LETTERS | Evolutionary Algorithms, Fuzzy Logic, Optimization |
Field | DocType | Volume |
Mathematical optimization,Imperfect,Evolutionary algorithm,Fuzzy set operations,Computer science,Local optimum,Fuzzy logic,Nonlinear programming,Fuzzy transportation,Fuzzy method,Artificial intelligence,Machine learning | Journal | 13 |
Issue | ISSN | Citations |
2 | 1816-093X | 1 |
PageRank | References | Authors |
0.38 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oscar Montiel | 1 | 518 | 38.41 |
| Oscar Castillo | 2 | 5289 | 452.83 |
| Jose Soria | 3 | 139 | 7.21 |
| Antonio Rodriguez | 4 | 12 | 2.35 |
| Hector Arias | 5 | 13 | 1.30 |
| Roberto Sepúlveda | 6 | 1 | 0.38 |