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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 6 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
GECCO
2009
Springer
125views Optimization» more  GECCO 2009»
13 years 9 months ago
Preserving population diversity for the multi-objective vehicle routing problem with time windows
The Vehicle Routing Problem’s main objective is to find the lowest-cost set of routes to deliver goods to customers, which have a service time window, using a fleet of identic...
Abel Garcia-Najera
ICTAI
2003
IEEE
13 years 10 months ago
A Diversity-Controlling Adaptive Genetic Algorithm for the Vehicle Routing Problem with Time Windows
This paper presents an adaptive genetic algorithm (GA) to solve the Vehicle Routing Problem with Time Windows (VRPTW) to near optimal solutions. The algorithm employs a unique dec...
Kenny Qili Zhu
GECCO
2007
Springer
236views Optimization» more  GECCO 2007»
13 years 11 months ago
A discrete differential evolution algorithm for the permutation flowshop scheduling problem
In this paper, a novel discrete differential evolution (DDE) algorithm is presented to solve the permutation flowhop scheduling problem with the makespan criterion. The DDE algori...
Quan-Qe Pan, Mehmet Fatih Tasgetiren, Yun-Chia Lia...
AGENTS
2000
Springer
13 years 9 months ago
Ant-like missionaries and cannibals: synthetic pheromones for distributed motion control
Many applied problems in domains such as military operations, manufacturing, and logistics require that entities change location under certain constraints. These problems are trad...
H. Van Dyke Parunak, Sven Brueckner