Name
Abstract | ||
|---|---|---|
In this paper we present a hybrid evolutionary algorithm to solve a popular logic-type puzzle, the so called Japanese puzzle. We propose to use the evolutionary algorithm in order to initialize a logic ad-hoc algorithm, which works as a local search and implicitly defines the fitness function of the problem. Two novel operators, one for initializing the evolutionary algorithm and a second one providing a novel type of mutation adapted to Japanese puzzles are described in the paper. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-89694-4_37 | SEAL |
Keywords | Field | DocType |
hybrid evolutionary-logic algorithm,difficult japanese puzzles,fitness function,novel type,hybrid evolutionary algorithm,popular logic-type puzzle,novel operator,japanese puzzle,logic ad-hoc algorithm,evolutionary algorithm,local search | Interactive evolutionary computation,Mathematical optimization,Evolutionary algorithm,Computer science,Algorithm,Fitness function,Operator (computer programming),Artificial intelligence,Local search (optimization),Cultural algorithm,Evolutionary programming,Evolutionary music | Conference |
Volume | ISSN | Citations |
5361 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emilio G. Ortiz-García | 1 | 140 | 10.54 |
| Sancho Salcedo-Sanz | 2 | 580 | 71.21 |
| Ángel M. Pérez-Bellido | 3 | 130 | 11.71 |
| Antonio Portilla-Figueras | 4 | 147 | 19.07 |
| Xin Yao | 5 | 14858 | 945.63 |