Introduction and Motivation The Min Number Partitioning problem has been a hard challenge for metaheuristics for at least a decade. It was originally the paper by Johnson et al.[4] that first identified the problem that a metaheuristic of prestige among physicists, Simulated Annealing (SA), was having to address this problem [15]. The problem is an open challenge for other metaheuristics like Genetic Algorithms (GAs) [7] [13], SA [4] [15] [14], problem space local search [16], GRASP [1], and Tabu Search [6]. The decision version is widely cited as being a conspicuous member of the NP-complete class, one of the "six-essential" NP-complete problems. Moreover, the problem has another source of interest if we also have in mind that i...
The efficient implementation of parallel processing architectures generally requires the solution of...
[[abstract]]Complex optimisation problems with many degrees of freedom are often characterised by th...
We introduce the modular genetic algorithm (MGA). The modular genetic algorithm is a search algorith...
AbstractThe statistical physics approach to the number partioning problem, a classical NP-hard probl...
We illustrate the use of phase transition behavior in the study of heuristics. Using an "annealed" t...
We outline a technique for studying phase transition behaviour in computational problems using numbe...
This report summarizes research on algorithms for finding particularly good solutions to instances o...
Nesta tese apresentamos a abordagem da Mecânica Estatística para o clássico problema de otimização d...
We identify a natural parameter for random number partitioning, and show that there is a rapid trans...
Clustering is a difficult task: there is no single cluster definition and the data can have more tha...
In a spin glass with Ising spins, the problems of computing the magnetic partition function and find...
Clustering, Binary relations, Equivalence relation, Cliques, Combinatorial optimization, Heuristics,...
Abstract: Problem statement: The selection process is a major factor in genetic algorithm which dete...
© 2017 Elsevier B.V. This paper is concerned with a partitioning problem. One of the applications, a...
. Can stochastic search algorithms outperform existing deterministic heuristics for the NP-hard prob...
The efficient implementation of parallel processing architectures generally requires the solution of...
[[abstract]]Complex optimisation problems with many degrees of freedom are often characterised by th...
We introduce the modular genetic algorithm (MGA). The modular genetic algorithm is a search algorith...
AbstractThe statistical physics approach to the number partioning problem, a classical NP-hard probl...
We illustrate the use of phase transition behavior in the study of heuristics. Using an "annealed" t...
We outline a technique for studying phase transition behaviour in computational problems using numbe...
This report summarizes research on algorithms for finding particularly good solutions to instances o...
Nesta tese apresentamos a abordagem da Mecânica Estatística para o clássico problema de otimização d...
We identify a natural parameter for random number partitioning, and show that there is a rapid trans...
Clustering is a difficult task: there is no single cluster definition and the data can have more tha...
In a spin glass with Ising spins, the problems of computing the magnetic partition function and find...
Clustering, Binary relations, Equivalence relation, Cliques, Combinatorial optimization, Heuristics,...
Abstract: Problem statement: The selection process is a major factor in genetic algorithm which dete...
© 2017 Elsevier B.V. This paper is concerned with a partitioning problem. One of the applications, a...
. Can stochastic search algorithms outperform existing deterministic heuristics for the NP-hard prob...
The efficient implementation of parallel processing architectures generally requires the solution of...
[[abstract]]Complex optimisation problems with many degrees of freedom are often characterised by th...
We introduce the modular genetic algorithm (MGA). The modular genetic algorithm is a search algorith...