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» On Benchmarking Stochastic Global Optimization Algorithms
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AI
2005
Springer
13 years 7 months ago
Adopt: asynchronous distributed constraint optimization with quality guarantees
The Distributed Constraint Optimization Problem (DCOP) is able to model a wide variety of distributed reasoning tasks that arise in multiagent systems. Unfortunately, existing met...
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Mak...
CEC
2009
IEEE
14 years 12 days ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
TEC
2010
112views more  TEC 2010»
13 years 2 months ago
Population-Based Algorithm Portfolios for Numerical Optimization
In this paper, we consider the scenario that a population-based algorithm is applied to a numerical optimization problem and a solution needs to be presented within a given time bu...
Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
CEC
2007
IEEE
14 years 2 months ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...
CP
2005
Springer
14 years 1 months ago
Solving Large-Scale Nonlinear Programming Problems by Constraint Partitioning
Abstract. In this paper, we present a constraint-partitioning approach for finding local optimal solutions of large-scale mixed-integer nonlinear programming problems (MINLPs). Ba...
Benjamin W. Wah, Yixin Chen