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» Solving Hierarchical Optimization Problems Using MOEAs
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COGSCI
2006
75views more  COGSCI 2006»
14 years 9 months ago
A Hierarchical Bayesian Model of Human Decision-Making on an Optimal Stopping Problem
We consider human performance on an optimal stopping problem where people are presented with a list of numbers independently chosen from a uniform distribution. People are told ho...
Michael D. Lee
IIWAS
2003
14 years 11 months ago
Agent-based Problem Solving: The Ant Colonies Metaphor
In this paper the analogy between biological swarms and artificial multiagent systems is pointed out. As an example the steps required to model the artificial optimization techniq...
Stefan Wagner 0002, Michael Affenzeller, Ismail Kh...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 3 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
SAT
2007
Springer
95views Hardware» more  SAT 2007»
15 years 3 months ago
Solving Multi-objective Pseudo-Boolean Problems
Integer Linear Programs are widely used in areas such as routing problems, scheduling analysis and optimization, logic synthesis, and partitioning problems. As many of these proble...
Martin Lukasiewycz, Michael Glaß, Christian ...
CSCLP
2007
Springer
15 years 3 months ago
Preference-Based Problem Solving for Constraint Programming
Abstract. Combinatorial problems such as scheduling, resource allocation, and configuration have many attributes that can be subject of user preferences. Traditional optimization ...
Ulrich Junker