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GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 11 months ago
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...
Gabriela Ochoa, Rong Qu, Edmund K. Burke
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 11 months ago
Articulating user preferences in many-objective problems by sampling the weighted hypervolume
The hypervolume indicator has become popular in recent years both for performance assessment and to guide the search of evolutionary multiobjective optimizers. Two critical resear...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 9 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
SAC
2008
ACM
15 years 3 months ago
Decentralized coordination strategies for the vehicle routing problem
Modern software control systems must cope with uncertainty, manage dynamic environments, as well as provide greater flexibility. Distributed agent-based control systems are the id...
Matteo Vasirani, Sascha Ossowski
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 8 months ago
Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robot
In this paper, a genetic algorithm (GA) is used to design faulttolerant analog controllers for a piezoelectric micro-robot. Firstorder and second-order functions are developed to ...
Geoffrey A. Hollinger, David A. Gwaltney