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GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
15 years 1 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
146
Voted
GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
15 years 1 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
123
Voted
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 1 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
109
Voted
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 1 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer
96
Voted
GECCO
2008
Springer
164views Optimization» more  GECCO 2008»
15 years 1 months ago
Genetic algorithms with local search optimization for protein structure prediction problem
This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in both 2D and 3D hydrophobichydrophilic lattice models, introduced in [1]. Our algorithm evol...
Igor Berenboym, Mireille Avigal