TAILIEUCHUNG - ANT COLONY OPTIMIZATION METHODS AND APPLICATIONS

Ants communicate information by leaving pheromone tracks. A moving ant leaves, in varying quantities, some pheromone on the ground to mark its way. While an isolated ant moves essentially at random, an ant encountering a previously laid trail is able to detect it and decide with high probability to follow it, thus reinforcing the track with its own pheromone. The collective behavior that emerges is thus a positive feedback: where the more the ants following a track, the more attractive that track becomes for being followed; thus the probability with which an ant chooses a path increases with the number. | ANT COLONY OPTIMIZATION -METHODS AND APPLICATIONS Edited by Avi Ostfeld Ant Colony Optimization - Methods and Applications Edited by Avi Ostfeld Published by InTech Janeza Trdine 9 51000 Rijeka Croatia Copyright 2011 InTech All chapters are Open Access articles distributed under the Creative Commons Non Commercial Share Alike Attribution license which permits to copy distribute transmit and adapt the work in any medium so long as the original work is properly cited. After this work has been published by InTech authors have the right to republish it in whole or part in any publication of which they are the author and to make other personal use of the work. Any republication referencing or personal use of the work must explicitly identify the original source. Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published articles. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials instructions methods or ideas contained in the book. Publishing Process Manager Iva Lipovic Technical Editor Teodora Smiljanic Cover Designer Martina Sirotic Image Copyright kRie 2010. Used under license from First published February 2011 Printed in India A free online edition of this book is available at Additional hard copies can be obtained from orders@ Ant Colony Optimization - Methods and Applications Edited by Avi Ostfeld p. cm. ISBN 978-953-307-157-2 I kfTC LI OPEN ACCESS INI Evn PUBLISHER INTECH open free online editions of InTech Books and Journals can be found at .

• Kỹ thuật lập trình
• Dynamic Optimization
• Neural Network
• Algorithm Convergence
• Multiobjective Optimization
• Ant Programming
• Green Manufacturing
• Colony Algorithms
• Information sciences
• Fitness landscape modifications
• Evolutionary dynamic optimization
• Benchmark problem generator
• Theory of evolutionary algorithm
• Dynamic of physical and financial flow
• Reactive optimization of physical
• Reactive optimization offinancial flows in the supply chain
• Reactive optimization offinancial flows
• Performance and working capital
• Engineering optimization theory
• Nonlinear programming
• Constrained optimization techniques
• Geometric programming
• Dynamic programming
• Stochastic programming
• Hybrid cat swarm optimization
• Simulated annealing for dynamic task scheduling
• Cloud computing environment
• The proposed CSMCSOSA algorithm
• Enhance the SA
• Cloud Scalable Multi Objective Cat Swarm Optimization
• Advanced Algorithms Analysis and Design
• Lecture Advanced Algorithms Analysis and Design
• Bài giảng Phân tích và thiết kế thuật toán nâng cao
• Solving optimization problems
• Chain matrix multiplication
• Electronic Engineering
• Crossover thought
• Dynamic performance
• Fuzzy control thought
• Improved fuzzy particle swarm optimization
• Water turbine regulating system
• instruments dynamic learning
• dynamic enables learning
• document dynamic enable learning
• Lotteries and casino games
• inflow distortion
• rotor stator interactions
• stochastic optimization
• transonic flows
• International Journal of Computer Networks and Communications Security
• Dynamic optimization of power consumption
• Response time in multiprocessors by turning processors off
• Turning processors off
• The mentioned hypothesis
• Optimization of multi response dynamic systems
• Principal component analysis
• Utility theory approach
• The grey relational model
• PCA based approaches
• Differential evolution
• Directed mutation
• Global optimization
• Modified BGA mutation
• Dynamic non linear crossover
• Multi response dynamic systems
• Multiple regression based weighted signal to noise ratio
• Weighted signal to noise ratio
• Multi response dynamic system
• Signal to noise
• BMC Bioinformatics
• Dynamic flux balance analysis
• Nonsmooth dynamic systems
• Linear programming
• Lexicographic optimization
• Stochastic Games
• Dynamic Games
• Economics
• Finance
• Queuing Theory
• Optimization
• Stochastic Control
• Dynamic memory allocation Ppblem
• Combinatorial optimization
• Variable neighborhood search
• Regarding quality
• Metaheuristic approach
• Electronic brachytherapy
• Computational fluid dynamic
• Miniature electronic brachytherapy
• X ray sources
• Monte Carlo
• Multi objective optimization
• Multi level programing
• Dynamic leader follower model
• Lack of central authority
• Multi level modeling
• Dynamic models
• Parameter estimation
• Nonlinear dynamic models
• Dynamic stall
• Wake correction
• Design optimization of the blade
• Vertical axis wind turbine
• Aerodynamic investigation
• Chromatography A
• Linear driving force model
• Mechanistic model
• Chromatography increases
• Dynamic binding capacity
• Meta heuristic
• Hybrid model
• Ant colony optimization
• Bacterial foraging algorithm
• Pair Wise exchange heuristic
• Tạp chí khoa học
• IPMC based actuator
• Modified particle swarm optimization
• Fuzzy NARX model
• Inverse dynamic identification
• Tri rotor UAV
• Feedback linearization
• Dynamic model
• Nonlinear control
• Module optimization
• hazardous effects
• nanomaterials derived
• protein aggregation
• reflect disparities
• individual resources
• privileged backgrounds