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» Dynamic populations in genetic algorithms
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AUSAI
2003
Springer
15 years 5 months ago
Guided Operators for a Hyper-Heuristic Genetic Algorithm
We have recently introduced a hyper-heuristic genetic algorithm (hyper-GA) with an adaptive length chromosome which aims to evolve an ordering of low-level heuristics so as to find...
Limin Han, Graham Kendall
103
Voted
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 6 months ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont
80
Voted
JCP
2008
117views more  JCP 2008»
15 years 17 days ago
Selfish Constraint Satisfaction Genetic Algorithm for Planning a Long-distance Transportation Network
To build a cooperative logistics network covering multiple enterprises, a planning method that can build a long-distance transportation network is required. Many strict constraints...
Takashi Onoyama, Takuya Maekawa, Yoshitaka Sakurai...
87
Voted
TITS
2008
106views more  TITS 2008»
15 years 14 days ago
Binary-Representation-Based Genetic Algorithm for Aircraft Arrival Sequencing and Scheduling
Arrival sequencing and scheduling (ASS) at airports is an NP-hard problem. Much effort has been made to use permutation-representation-based genetic algorithms (GAs) to tackle this...
Xiao-Bing Hu, Ezequiel A. Di Paolo
94
Voted
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
15 years 1 months ago
Multi-resistant radar jamming using genetic algorithms
The next generation of advanced self-protection jammers is expected to deliver effective and energy efficient jamming against modern air tracking radars. However, optimizing such ...
Hans Jonas Fossum Moen, Stein Kristoffersen