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GECCO
2010
Springer
149views Optimization» more  GECCO 2010»
13 years 8 months ago
P system model optimisation by means of evolutionary based search algorithms
Carlos García-Martínez, Claudio Lima...
EC
2010
157views ECommerce» more  EC 2010»
13 years 5 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...
GECCO
2008
Springer
180views Optimization» more  GECCO 2008»
13 years 6 months ago
An agent-based collaborative evolutionary model for multimodal optimization
A novel approach to multimodal optimization called Roaming Agent-Based Collaborative Evolutionary Model (RACE) combining several evolutionary techniques with agent-based modeling ...
Rodica Ioana Lung, Camelia Chira, Dumitru Dumitres...
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
13 years 8 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
13 years 6 months ago
Structure and parameter estimation for cell systems biology models
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
Francisco José Romero-Campero, Hongqing Cao...