Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Future Generation Computer Systems
Using Genetic Algorithms to Optimize ACS-TSP
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
A MAX-MIN Ant System for the University Course Timetabling Problem
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
Analysis of the Best-Worst Ant System and Its Variants on the QAP
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
GAACO: A GA + ACO Hybrid for Faster and Better Search Capability
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
Modeling transportation problems using concepts of swarm intelligence and soft computing
Modeling transportation problems using concepts of swarm intelligence and soft computing
Algorithms of Ant System and Simulated Annealing for the p-median Problem
Automation and Remote Control
Ant Colony Optimization
International Journal of Intelligent Systems
An improved ant colony optimisation algorithm for the 2D HP protein folding problem
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Data mining with an ant colony optimization algorithm
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Advances in Engineering Software
Genetic algorithm for the one-commodity pickup-and-delivery traveling salesman problem
Computers and Industrial Engineering
A hybrid genetic algorithm for the vehicle routing problem with simultaneous pickup and delivery
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Integrated process planning and scheduling by an agent-based ant colony optimization
Computers and Industrial Engineering
A software model to prototype ant colony optimization algorithms
Expert Systems with Applications: An International Journal
Computers and Operations Research
Structured testing using ant colony optimization
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Information Sciences: an International Journal
A method for avoiding the feedback searching bias in ant colony optimization
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Hierarchical congregated ant system for bottom-up VLSI placements
Engineering Applications of Artificial Intelligence
Variable-Order Ant System for VLSI multiobjective floorplanning
Applied Soft Computing
A modified ant colony optimization algorithm for dynamic topology optimization
Computers and Structures
An algorithm for constructing single machine schedules based on ant colony approach
Journal of Computer and Systems Sciences International
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This paper reviews the theory and applications of ant algorithms, new methods of discrete optimization based on the simulation of self-organized colony of biologic ants. The colony can be regarded as a multi-agent system where each agent is functioning independently by simple rules. Unlike the nearly primitive behavior of the agents, the behavior of the whole system happens to be amazingly reasonable. The ant algorithms have been extensively studied by European researchers from the mid-1990s. These algorithms have successfully been applied to solving many complex combinatorial optimization problems, such as the traveling salesman problem, the vehicle routing problem, the problem of graph coloring, the quadratic assignment problem, the problem of network-traffic optimization, the job-shop scheduling problem, etc. The ant algorithms are especially efficient for online optimization of processes in distributed nonstationary systems (for example, telecommunication network routing).