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A review on the ant colony optimization metaheuristic: basis, models and new trends.

Oscar Cordón, Francisco Herrera, Thomas Stützle (2002)

Mathware and Soft Computing

Ant Colony Optimization (ACO) is a recent metaheuristic method that is inspired by the behavior of real ant colonies. In this paper, we review the underlying ideas of this approach that lead from the biological inspiration to the ACO metaheuristic, which gives a set of rules of how to apply ACO algorithms to challenging combinatorial problems. We present some of the algorithms that were developed under this framework, give an overview of current applications, and analyze the relationship between...

A study on meme propagation in multimemetic algorithms

Rafael Nogueras, Carlos Cotta (2015)

International Journal of Applied Mathematics and Computer Science

Multimemetic algorithms (MMAs) are a subclass of memetic algorithms in which memes are explicitly attached to genotypes and evolve alongside them. We analyze the propagation of memes in MMAs with a spatial structure. For this purpose we propose an idealized selecto-Lamarckian model that only features selection and local improvement, and study under which conditions good, high-potential memes can proliferate. We compare population models with panmictic and toroidal grid topologies. We show that the...

A tabu search algorithm to schedule university examinations.

Ramón Alvarez-Valdés, Enric Crespo, José M. Tamarit (1997)

Qüestiió

Scheduling examinations in a large university is an increasingly complex problem, due to its size, the growing flexibility of students' curricula and the interest in including a wide set of objectives and constraints. In this paper we present a new algorithm for this problem and its application to a university in Spain.A combination of heuristics, based on Tabu Search, first finds a solution in which no student has two exams simultaneously and then improves it by evenly spacing the exams in the...

About the choice of the variable to unassign in a decision repair algorithm

Cédric Pralet, Gérard Verfaillie (2005)

RAIRO - Operations Research - Recherche Opérationnelle

The decision repair algorithm (Jussien and Lhomme, Artificial Intelligence 139 (2002) 21–45), which has been designed to solve constraint satisfaction problems (CSP), can be seen, either (i) as an extension of the classical depth first tree search algorithm with the introduction of a free choice of the variable to which to backtrack in case of inconsistency, or (ii) as a local search algorithm in the space of the partial consistent variable assignments. or (iii) as a hybridisation between local...

About the choice of the variable to unassign in a decision repair algorithm

Cédric Pralet, Gérard Verfaillie (2010)

RAIRO - Operations Research

The decision repair algorithm (Jussien and Lhomme, Artificial Intelligence139 (2002) 21–45), which has been designed to solve constraint satisfaction problems (CSP), can be seen, either (i) as an extension of the classical depth first tree search algorithm with the introduction of a free choice of the variable to which to backtrack in case of inconsistency, or (ii) as a local search algorithm in the space of the partial consistent variable assignments. or (iii) as a hybridisation between local...

Advances in model-based fault diagnosis with evolutionary algorithms and neural networks

Marcin Witczak (2006)

International Journal of Applied Mathematics and Computer Science

Challenging design problems arise regularly in modern fault diagnosis systems. Unfortunately, the classical analytical techniques often cannot provide acceptable solutions to such difficult tasks. This explains why soft computing techniques such as evolutionary algorithms and neural networks become more and more popular in industrial applications of fault diagnosis. The main objective of this paper is to present recent developments regarding the application of evolutionary algorithms and neural...

Advances in parallel heterogeneous genetic algorithms for continuous optimization

Enrique Alba, Francisco Luna, Antonio Nebro (2004)

International Journal of Applied Mathematics and Computer Science

In this paper we address an extension of a very efficient genetic algorithm (GA) known as Hy3, a physical parallelization of the gradual distributed real-coded GA (GD-RCGA). This search model relies on a set of eight subpopulations residing in a cube topology having two faces for promoting exploration and exploitation. The resulting technique has been shown to yield very accurate results in continuous optimization by using crossover operators tuned to explore and exploit the solutions inside each...

Algorithmes hybrides génériques pour la résolution de problèmes de satisfaction de contraintes

Hervé Deleau, Jin-Kao Hao, Frédéric Saubion (2005)

RAIRO - Operations Research - Recherche Opérationnelle

Nous présentons dans cet article un algorithme générique hybride permettant de combiner des méthodes complètes (programmation par contraintes) et incomplètes (recherche locale) pour la résolution de problèmes de satisfaction de contraintes. Ce schéma algorithmique basé sur la gestion de populations, utilise des techniques de propagation de contraintes intégrant également des heuristiques de recherche locale. Les structures utilisées autorisent une interaction homogène entre les différentes méthodes...

Algorithmes hybrides génériques pour la résolution de problèmes de satisfaction de contraintes

Hervé Deleau, Jin-Kao Hao, Frédéric Saubion (2010)

RAIRO - Operations Research

Nous présentons dans cet article un algorithme générique hybride permettant de combiner des méthodes complètes (programmation par contraintes) et incomplètes (recherche locale) pour la résolution de problèmes de satisfaction de contraintes. Ce schéma algorithmique basé sur la gestion de populations, utilise des techniques de propagation de contraintes intégrant également des heuristiques de recherche locale. Les structures utilisées autorisent une interaction homogène entre les différentes méthodes...

Algoritmos heurísticos deterministas y aleatorios en secuenciación de proyectos con recursos limitados.

Ramón Alvarez-Valdés Olaguíbel, José Manuel Tamarit Goerlich (1989)

Qüestiió

En este trabajo se estudia la eficiencia relativa de un conjunto de algoritmos heurísticos, deterministas y aleatorizados, para el problema de la secuenciación de proyectos con limitación de recursos. Se presentan los resultados de un extenso estudio computacional y se aplican tests no paramétricos para contrastar estadísticamente las conclusiones obtenidas.

Allocating servers to facilities, when demand is elastic to travel and waiting times

Vladimir Marianov, Miguel Rios, Francisco Javier Barros (2005)

RAIRO - Operations Research - Recherche Opérationnelle

Public inoculation centers are examples of facilities providing service to customers whose demand is elastic to travel and waiting time. That is, people will not travel too far, or stay in line for too long to obtain the service. The goal, when planning such services, is to maximize the demand they attract, by locating centers and staffing them so as to reduce customers’ travel time and time spent in queue. In the case of inoculation centers, the goal is to maximize the people that travel to the...

Allocating servers to facilities, when demand is elastic to travel and waiting times

Vladimir Marianov, Miguel Rios, Francisco Javier Barros (2006)

RAIRO - Operations Research

Public inoculation centers are examples of facilities providing service to customers whose demand is elastic to travel and waiting time. That is, people will not travel too far, or stay in line for too long to obtain the service. The goal, when planning such services, is to maximize the demand they attract, by locating centers and staffing them so as to reduce customers' travel time and time spent in queue. In the case of inoculation centers, the goal is to maximize the people that travel to the...

An autonomous vehicle sequencing problem at intersections: A genetic algorithm approach

Fei Yan, Mahjoub Dridi, Abdellah El Moudni (2013)

International Journal of Applied Mathematics and Computer Science

This paper addresses a vehicle sequencing problem for adjacent intersections under the framework of Autonomous Intersection Management (AIM). In the context of AIM, autonomous vehicles are considered to be independent individuals and the traffic control aims at deciding on an efficient vehicle passing sequence. Since there are considerable vehicle passing combinations, how to find an efficient vehicle passing sequence in a short time becomes a big challenge, especially for more than one intersection....

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