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Retracted: Ant Colony Optimization-Enabled CNN Deep Learning Technique for Accurate Detection of Cervical Cancer. [PDF]
Biomed Res IntInternational BR.
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Correction: Gastrointestinal tract disorders classification using ensemble of InceptionNet and proposed GITNet based deep feature with ant colony optimization. [PDF]
PLoS OneRamzan M +5 more
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IEEE Transactions on Evolutionary Computation, 2004
Review of the book "Ant colony optimization", by Marco Dorigo and Thomas Stuetzle and published by the MIT Press.
MANIEZZO, VITTORIO +2 more
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Review of the book "Ant colony optimization", by Marco Dorigo and Thomas Stuetzle and published by the MIT Press.
MANIEZZO, VITTORIO +2 more
+7 more sources
2021
Ants are found on all continents except Antarctica. Ant families are a perennial, highly organized community. Ants live in organized groups called colonies and have complex relationships with each other. Ants have an extremely strong sense of smell and are in contact with each other mainly by pheromones.
Aykut Argun +2 more
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Ants are found on all continents except Antarctica. Ant families are a perennial, highly organized community. Ants live in organized groups called colonies and have complex relationships with each other. Ants have an extremely strong sense of smell and are in contact with each other mainly by pheromones.
Aykut Argun +2 more
openaire +2 more sources
Ant colony optimization for software engineers [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022 Many software engineering tasks can be formulated as search problems. Building tests requires selecting among infinite test inputs to maximise code coverage. In systems with large test-suites and limited resources, developers choose test execution order among all possible test-case permutations to maximise fault detection.
Gavidia-Calderon, Carlos +1 more
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2018
The ant colony optimization (ACO) technique is a vital part of swarm intelligence based on the social instincts of the real ants toward their community that helps them to collectively work together to achieve a common goal. These tiny insects have inspired numerous methods and techniques out of which the most sought after and successful is the general ...
Bandana Mahapatra, Srikanta Patnaik
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The ant colony optimization (ACO) technique is a vital part of swarm intelligence based on the social instincts of the real ants toward their community that helps them to collectively work together to achieve a common goal. These tiny insects have inspired numerous methods and techniques out of which the most sought after and successful is the general ...
Bandana Mahapatra, Srikanta Patnaik
openaire +1 more source
2016
Ants are capable of finding the shortest path between the food and the colony using a pheromone-laying mechanism. ACO is a metaheuristic optimization approach inspired by this foraging behavior of ants. This chapter is dedicated to ACO.
Ke-Lin Du, M. N. S. Swamy
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Ants are capable of finding the shortest path between the food and the colony using a pheromone-laying mechanism. ACO is a metaheuristic optimization approach inspired by this foraging behavior of ants. This chapter is dedicated to ACO.
Ke-Lin Du, M. N. S. Swamy
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Ant Colony Optimization: An Overview
2002Ant Colony Optimization (ACO) is a class of constructive meta-heuristic algorithms sharing the common approach of constructing a solution on the basis of information provided both by a standard constructive heuristic and by previously constructed solutions. This tutorial is composed of three parts.
Maniezzo V., Carbonaro A.
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