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GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
8 years 11 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
8 years 11 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
8 years 11 months ago
Emergent architecture in self organized swarm systems for military applications
Many sectors of the military are interested in Self-Organized (SO) systems because of their flexibility, versatility and economics. The military is researching and employing auto...
Dustin J. Nowak, Gary B. Lamont, Gilbert L. Peters...
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
8 years 11 months ago
Towards incremental social learning in optimization and multiagent systems
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially c...
Marco Antonio Montes de Oca, Thomas Stützle
GECCO
2008
Springer
140views Optimization» more  GECCO 2008»
8 years 11 months ago
A bivariate probabilistic model-building genetic algorithm for graph bipartitioning
We investigate a bi-variate probabilistic model-building GA for the graph bipartitioning problem. The graph bipartitioning problem is a grouping problem that requires some modifi...
Dirk Thierens
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
8 years 11 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
8 years 11 months ago
Parameterizing pair approximations for takeover dynamics
Pair approximations have often been used to predict equilibrium conditions in spatially-explicit epidemiological and ecological systems. In this work, we investigate whether this ...
Joshua L. Payne, Margaret J. Eppstein
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
8 years 11 months ago
Ultra high frequency financial data
This note is best described as a ‘Research Challenge’, and concerns building an ultra high frequency (UHF) trading system. The emphasis is on addressing the problems posed by ...
Martin Victor Sewell, Wei Yan
GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
8 years 11 months ago
Agent Smith: a real-time game-playing agent for interactive dynamic games
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Ryan K. Small
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
8 years 11 months ago
Using quotient graphs to model neutrality in evolutionary search
We introduce quotient graphs for modeling neutrality in evolutionary search. We demonstrate that for a variety of evolutionary computing problems, search can be characterized by g...
Dominic Wilson, Devinder Kaur
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