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» Solving iterated functions using genetic programming
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MOR
2002
94views more  MOR 2002»
13 years 8 months ago
The Complexity of Generic Primal Algorithms for Solving General Integer Programs
ngly better objective function value until an optimal solution is reached. From an abstract point of view, an augmentation problem is solved in each iteration. That is, given a fea...
Andreas S. Schulz, Robert Weismantel
IIS
2003
13 years 10 months ago
Function Optimization with Coevolutionary Algorithms
Abstract. The problem of parallel and distributed function optimization with coevolutionary algorithms is considered. Two coevolutionary algorithms are used for this purpose and co...
Franciszek Seredynski, Albert Y. Zomaya, Pascal Bo...
WSC
1998
13 years 9 months ago
Rostering by Iterating Integer Programming and Simulation
We present a new technique (RIIPS) for solving rostering problems in the presence of service uncertainty. RIIPS stands for "Rostering by Iterating Integer Programming and Sim...
Shane G. Henderson, Andrew J. Mason
CP
2000
Springer
14 years 26 days ago
Optimal Anytime Constrained Simulated Annealing for Constrained Global Optimization
Abstract. In this paper we propose an optimal anytime version of constrained simulated annealing (CSA) for solving constrained nonlinear programming problems (NLPs). One of the goa...
Benjamin W. Wah, Yixin Chen
ICARCV
2002
IEEE
185views Robotics» more  ICARCV 2002»
14 years 1 months ago
Evolving cooperative robotic behaviour using distributed genetic programming
Cooperative robotic systems provide design and implementation challenges that are not easy to solve. This paper describes a parallel implementation for evolving cooperative roboti...
Chris H. Messom, Matthew G. Walker