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GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
14 years 6 months ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 8 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
DISOPT
2006
155views more  DISOPT 2006»
15 years 3 months ago
Cyclical scheduling and multi-shift scheduling: Complexity and approximation algorithms
We consider the multiple shift scheduling problem modelled as a covering problem. Such problems are characterized by a constraint matrix that has in every column blocks of consecu...
Dorit S. Hochbaum, Asaf Levin
ICASSP
2010
IEEE
15 years 3 months ago
Ergodic stochastic optimization algorithms for wireless communication and networking
— Ergodic stochastic optimization (ESO) algorithms are proposed to solve resource allocation problems that involve a random state and where optimality criteria are expressed in t...
Alejandro Ribeiro
CSI
2006
136views more  CSI 2006»
15 years 3 months ago
A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems
In a distributed system, a number of application tasks may need to be assigned to different processors such that the system cost is minimized and the constraints with limited reso...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...