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EVOW
2007
Springer
13 years 8 months ago
Evaluation of Different Metaheuristics Solving the RND Problem
RND (Radio Network Design) is a Telecommunication problem consisting in covering a certain geographical area by using the smallest number of radio antennas achieving the biggest co...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
ECAI
2008
Springer
13 years 6 months ago
Incremental Diagnosis of DES by Satisfiability
Abstract. We propose a SAT-based algorithm for incremental diagnosis of discrete-event systems. The monotonicity is ensured by a prediction window that uses the future observations...
Alban Grastien, Anbulagan
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
2007
Springer
155views Optimization» more  GECCO 2007»
13 years 11 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
EVOW
2004
Springer
13 years 10 months ago
Binary Merge Model Representation of the Graph Colouring Problem
This paper describes a novel representation and ordering model that, aided by an evolutionary algorithm, is used in solving the graph k-colouring problem. Its strength lies in redu...
István Juhos, Attila Tóth, Jano I. v...