Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
The ant colony optimization meta-heuristic
New ideas in optimization
Ant algorithms for discrete optimization
Artificial Life
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Ant Algorithms: Theory and Applications
Programming and Computing Software
Using local information to guide ant based search
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
An ACO Algorithm with Adaptive Volatility Rate of Pheromone Trail
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Review: A review of ant algorithms
Expert Systems with Applications: An International Journal
Self-adaptive ant colony system for the traveling salesman problem
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Revisiting elitism in ant colony optimization
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Pheromone-distribution-based adaptive ant colony system
Proceedings of the 12th annual conference on Genetic and evolutionary computation
SamACO: variable sampling ant colony optimization algorithm for continuous optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An experimental ant colony approach for the geolocation of verbal route descriptions
Knowledge-Based Systems
Evolutionary discrete firefly algorithm for travelling salesman problem
ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems
Solving the traveling salesman problem using cooperative genetic ant systems
Expert Systems with Applications: An International Journal
On MAX - MIN ant system's parameters
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
A novel ACO algorithm with adaptive parameter
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
A cooperative ant colony system and genetic algorithm for TSPs
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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We propose the addition of Genetic Algorithms to Ant Colony System (ACS) applied to improve performance. Two modifications are proposed and tested. The first algorithm is a hybrid between ACS-TSP and a Genetic Algorithm that encodes experimental variables in ants. The algorithm does not yield improved results but offers concepts that can be used to improve the ACO algorithm. The second algorithm uses a Genetic Algorithm to evolve experimental variable values used in ACS-TSP. We have found that the performance of ACS-TSP can be improved by using the suggest edvalues.