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» Evolutionary Algorithms for the Satisfiability Problem
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GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
15 years 10 months ago
Neuroevolutionary reinforcement learning for generalized helicopter control
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
Rogier Koppejan, Shimon Whiteson
ACL2
2006
ACM
15 years 10 months ago
Phylogenetic trees in ACL2
Biologists studying the evolutionary relationships between organisms use software packages to solve the computational problems they encounter. Several of these problems involve th...
Warren A. Hunt Jr., Serita M. Nelesen
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 9 months ago
Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments
This paper addresses the evolution of control strategies for a collective: a set of entities that collectively strives to maximize a global evaluation function that rates the perf...
Kagan Tumer, Adrian K. Agogino
GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
15 years 8 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding
135
Voted
HIS
2008
15 years 5 months ago
Hybrid Approach for Machine Scheduling Optimization in Custom Furniture Industry
Machine scheduling is a critical problem in industries where products are custom-designed. The wide range of products, the lack of previous experiences in manufacturing, and the s...
Juan Carlos Vidal, Manuel Mucientes, Alberto Bugar...