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» Evolutionary algorithms and matroid optimization problems
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EMO
2001
Springer
107views Optimization» more  EMO 2001»
14 years 16 days ago
Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms
The main objectives of cancer treatment in general, and of cancer chemotherapy in particular, are to eradicate the tumour and to prolong the patient survival time. Traditionally, t...
Andrei Petrovski, John A. W. McCall
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 2 months ago
Option pricing model calibration using a real-valued quantum-inspired evolutionary algorithm
Quantum effects are a natural phenomenon and just like evolution, or immune processes, can serve as an inspiration for the design of computing algorithms. This study illustrates ...
Kai Fan, Anthony Brabazon, Conall O'Sullivan, Mich...
GECCO
2004
Springer
14 years 1 months ago
Self Adaptation of Operator Rates in Evolutionary Algorithms
Abstract. This work introduces a new evolutionary algorithm that adapts the operator probabilities (rates) while evolves the solution of the problem. Each individual encodes its ge...
Jonatan Gomez
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
14 years 1 months ago
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model
This paper proposes a new niching method named hierarchical niching, which combines spatial niching in search space and a continuous temporal niching concept. The method is natural...
Jianjun Hu, Erik D. Goodman
GECCO
2008
Springer
110views Optimization» more  GECCO 2008»
13 years 9 months ago
Crossover can provably be useful in evolutionary computation
We show that the natural evolutionary algorithm for the all-pairs shortest path problem is significantly faster with a crossover operator than without. This is the first theoret...
Benjamin Doerr, Edda Happ, Christian Klein