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IMCSIT
2010
13 years 6 months ago
ACO with semi-random start applied on MKP
Ant Colony Optimization (ACO) is a stochastic search method that mimics the social behavior of real ants colonies, which manage to establish the shortest route to feeding sources a...
Stefka Fidanova, Pencho Marinov, Krassimir T. Atan...
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 9 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...
CCIA
2005
Springer
13 years 10 months ago
Multi-Objective Multicast Routing based on Ant Colony Optimization
This work presents a new multiobjective algorithm based on ant colonies, which is used in the construction of the multicast tree for data transmission in a computer network. The pr...
Diego Pinto, Benjamín Barán, Ram&oac...
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 2 months ago
Screening the parameters affecting heuristic performance
This research screens the tuning parameters of a combinatorial optimization heuristic. Specifically, it presents a Design of Experiments (DOE) approach that uses a Fractional Fac...
Enda Ridge, Daniel Kudenko
CEC
2003
IEEE
14 years 2 months ago
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing
Abstract- Simulated annealing (SA) is an effective general heuristic method for solving many combinatorial optimization problems. This paper deals with two problems in SA. One is ...
Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Ta...