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GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 6 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
MOBIHOC
2005
ACM
14 years 4 months ago
Interference-aware topology control and QoS routing in multi-channel wireless mesh networks
The throughput of wireless networks can be significantly improved by multi-channel communications compared with single-channel communications since the use of multiple channels ca...
Jian Tang, Guoliang Xue, Weiyi Zhang
IJON
2008
177views more  IJON 2008»
13 years 4 months ago
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem
In this paper, an approach to solving the classical Traveling Salesman Problem (TSP) using a recurrent network of linear threshold (LT) neurons is proposed. It maps the classical ...
Eu Jin Teoh, Kay Chen Tan, H. J. Tang, Cheng Xiang...
GECCO
1999
Springer
158views Optimization» more  GECCO 1999»
13 years 9 months ago
Coevolutionary Genetic Algorithms for Solving Dynamic Constraint Satisfaction Problems
In this paper, we discuss the adaptability of Coevolutionary Genetic Algorithms on dynamic environments. Our CGA consists of two populations: solution-level one and schema-level o...
Hisashi Handa, Osamu Katai, Tadataka Konishi, Mits...
CEC
2008
IEEE
13 years 11 months ago
Solving deceptive problems using a genetic algorithm with reserve selection
— Deceptive problems are a class of challenging problems for conventional genetic algorithms (GAs), which usually mislead the search to some local optima rather than the global o...
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu