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» On the Brittleness of Evolutionary Algorithms
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CEC
2010
IEEE
14 years 11 months ago
Accelerated optimisation of chemotherapy dose schedules using fitness inheritance
Abstract-- Cancer treatment by chemotherapy involves multiple applications of toxic drugs over a period of time. Optimising the schedule of these treatments can improve the outcome...
Robert Barbour, David W. Corne, John A. W. McCall
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
14 years 11 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
14 years 11 months ago
Multi-task code reuse in genetic programming
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
CEC
2010
IEEE
14 years 10 months ago
Multi-objective mobile agent-based Sensor Network Routing using MOEA/D
Abstract— Mobile agents are often used in wireless sensor networks for distributed target detection with the goal of minimizing the transmission of non-critical data that negativ...
Andreas Konstantinidis 0002, Christoforos Charalam...
CEC
2010
IEEE
14 years 10 months ago
Cooperative Co-evolution with delta grouping for large scale non-separable function optimization
— Many evolutionary algorithms have been proposed for large scale optimization. Parameter interaction in nonseparable problems is a major source of performance loss specially on ...
Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao