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» Using evolution strategies to solve DEC-POMDP problems
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CEC
2005
IEEE
14 years 1 months ago
Ecology-inspired evolutionary algorithm using feasibility-based grouping for constrained optimization
When evolutionary algorithms are used for solving numerical constrained optimization problems, how to deal with the relationship between feasible and infeasible individuals can dir...
Ming Yuchi, Jong-Hwan Kim
GECCO
2005
Springer
219views Optimization» more  GECCO 2005»
14 years 1 months ago
An evolutionary lagrangian method for the 0/1 multiple knapsack problem
We propose a new evolutionary approach to solve the 0/1 multiple knapsack problem. We approach the problem from a new viewpoint different from traditional methods. The most remar...
Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon
IJCAI
2007
13 years 9 months ago
A Hybrid Ontology Directed Feedback Selection Algorithm for Supporting Creative Problem Solving Dialogues
We evaluate a new hybrid language processing approach designed for interactive applications that maintain an interaction with users over multiple turns. Specifically, we describe ...
Hao-Chuan Wang, Rohit Kumar, Carolyn Penstein Ros&...
TEC
2002
133views more  TEC 2002»
13 years 7 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
KI
2009
Springer
14 years 2 months ago
Surrogate Constraint Functions for CMA Evolution Strategies
Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
Oliver Kramer, André Barthelmes, Günte...