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» The Evolutionary Control Methodology: An Overview
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SCAI
2001
13 years 9 months ago
A Step Towards Incremental On-Board Evolutionary Robotics
We apply evolutionary algorithm (EA) to the design of controller for adaptive robots. EAs can be successful for more complicated tasks, where traditional engineering methods strugg...
Pavel Petrovic
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
14 years 1 months ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar
GECCO
2004
Springer
14 years 29 days ago
An Evolved Autonomous Controller for Satellite Task Scheduling
Abstract. A scheduling algorithm for satellites imaging tasks in a dynamic and uncertain environment. The environment is dynamic in the sense that imaging tasks will be added or re...
Darren M. Chitty
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 11 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 8 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