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Game-Method Model for Field Fires

AbstractEvery year about 45000 forest fires occur in Europe, burning half a million hectares of land, some of which protected zones with rare species of the flora and fauna. The existing methods for...

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Generalized Nets as Tools for Modeling of the Ant Colony Optimization Algorithms

AbstractAnt Colony Optimization (ACO) has been used successfully to solve hard combinatorial optimization problems. This metaheuristic method is inspired by the foraging behavior of ant colonies, which...

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Start Strategies of ACO Applied on Subset Problems

AbstractAnt Colony Optimization is a stochastic search method that mimic the social behavior of real ants colonies, which manage to establish the shortest routs to feeding sources and back. Such...

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Sensitivity Analysis of ACO Start Strategies for Subset Problems

AbstractAnt Colony Optimization (ACO) has been used successfully to solve hard combinatorial optimization problems. This metaheuristic method is inspired by the foraging behavior of ant colonies, which...

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Intuitionistic Fuzzy Estimation of the Ant Colony Optimization Starting Points

AbstractThe ability of ant colonies to form paths for carrying food is rather fascinating. The problem is solved collectively by the whole colony. This ability is explained by the fact that ants...

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A Generalized Net with an ACO-Algorithm Optimization Component

AbstractIn the paper we describe a generalized net GACOA realizing an arbitrary algorithms for ant colony optimization. In this sense, this net is universal for all standard algorithms for ant colony...

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Ant Algorithm for Optimal Sensor Deployment

AbstractTelecommunications is a general term for a vast array of technologies that send information over distances. Mobile phones, land lines, satellite phones and voice over Internet protocol are all...

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ACO and GA for Parameter Settings of E. coli Fed-Batch Cultivation Model

AbstractE. coli plays significant role in modern biological engineering and industrial microbiology. In this paper the Ant Colony Optimization algorithm and Genetic algorithm are proposed for parameter...

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Ant Colony Optimization Start Strategies Performance According Some of the...

AbstractAnt Colony Optimization (ACO) is a stochastic search method that mimic the social behavior of real ants colonies, which manage to establish the shortest rout to feeding sources and back. Such...

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Recent Advances in Computational Optimization

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Hybrid ACO-GA for Parameter Identification of an E. coli Cultivation Process...

AbstractThe present work offers a novel approach to parameter identification of an E. coli cultivation process model, using a hybrid of two metaheuristics, namely Ant Colony Optimization (ACO) and...

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Influence of the Number of Ants on Multi-objective Ant Colony Optimization...

AbstractWireless sensor networks monitor physical or environmental conditions. One of key objectives during their deployment is full coverage of the monitoring region with a minimal number of sensors...

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Modeling Forest Fire Spread Through a Game Method for Modeling Based on...

AbstractA mathematical model for predicting the spread of a fire front in homogeneous and inhomogeneous forest is presented. It is based on the application of the game method for modeling with...

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Reengineering and Extending the Agents in Grid Ontology

AbstractOntology engineering, despite considerable progress, is still relatively new and dynamically evolving discipline. As a result, the universal standards for creating and/or editing an ontology,...

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An Ant Algorithm for the Partition Graph Coloring Problem

AbstractIn this paper we propose an Ant Colony Optimization (ACO) algorithm for the partition graph coloring problem (PGCP). Given an undirected graph \(G =(V,E)\), whose nodes are partition into a...

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Population Size Influence on the Genetic and Ant Algorithms Performance in...

AbstractIn this paper, an investigation of the influence of the population size on the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) performance for a model parameter identification problem,...

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Numerical Methods and Applications

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Recent Advances in Computational Optimization

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InterCriteria Analysis of ACO and GA Hybrid Algorithms

AbstractIn this paper, the recently proposed approach for multicriteria decision making—InterCriteria Analysis (ICA)—is presented. The approach is based on the apparatus of the index matrices and the...

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Recent Advances in Computational Optimization

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