As an example, ant colony optimization is a class of optimization algorithms modeled on the actions of an ant colony. Artificial 'ants' (e.g. simulation...
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g.: ant colony optimization, particle swarm optimization) and methods based on integer linear programming. The suitability of genetic algorithms is dependent...
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Formicoidea) †Brownimeciinae †Formiciinae †Sphecomyrminae Ant colony optimization algorithms Ant mill Murray S. Blum (1929–2015) Barry Bolton Horace Donisthorpe...
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is considered a spiritual successor to SimAnt. Ant-keeping Formicarium Ant colony optimization algorithms Ported to FM Towns, PC-98, X68000 and SNES...
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for a more extensive search for the optimal solution. The ant colony optimization algorithm is a probabilistic technique for solving computational problems...
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Metaheuristic (redirect from Meta-algorithm)
ant colony optimization, evolutionary computation such as genetic algorithm or evolution strategies, particle swarm optimization, rider optimization algorithm...
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evolutionary robotics, evolvable hardware, artificial life, ant colony optimization algorithms, swarm intelligence, artificial immune systems, digital entertainment...
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behaviours. Evolutionary algorithms (EA), particle swarm optimization (PSO), differential evolution (DE), ant colony optimization (ACO) and their variants...
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(solution-ngh)+(2*ngh.*rand(1, maxParameters)); end Ant colony optimization algorithms Artificial bee colony algorithm Evolutionary computation Lévy flight foraging...
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algorithms and models include cellular automata, artificial neural networks and swarm intelligence systems (ant colony optimization, bees algorithm,...
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Integer programming (redirect from Integer linear optimization)
include Hill climbing Simulated annealing Reactive search optimization Ant colony optimization Hopfield neural networks There are also a variety of other...
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Swarm-based optimization algorithms (e.g., particle swarm optimization, social cognitive optimization, multi-swarm optimization and ant colony optimization) Memetic...
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Quality–Diversity algorithms – QD algorithms simultaneously aim for high-quality and diverse solutions. Unlike traditional optimization algorithms that solely...
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Tabu search (category Search algorithms)
such as simulated annealing, genetic algorithms, ant colony optimization algorithms, reactive search optimization, guided local search, or greedy randomized...
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subset of the colony including queens, workers and brood (eggs, larvae and pupae) leave the main colony for an alternative nest site. Pharaoh ant colonies...
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solving problems, for example Ant colony optimization and Ant robotics. This area of biomimetics has led to studies of ant locomotion, search engines that...
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Swarm behaviour (redirect from Swarm algorithms)
5 July 2007. Ant colony optimization Retrieved 15 December 2010. A. Colorni, M. Dorigo et V. Maniezzo, Distributed Optimization by Ant Colonies, actes...
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Probabilistic Turing Machine Approximation algorithm Simulated annealing Ant colony optimization algorithms Game semantics Generalized game Multiple-agent...
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In this sense, CBO is comparable to ant colony optimization, wind driven optimization, particle swarm optimization or Simulated annealing. Consider an...
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Cross-entropy method (category Optimization algorithms and methods)
Genetic algorithms Harmony search Estimation of distribution algorithm Tabu search Natural Evolution Strategy Ant colony optimization algorithms Cross entropy...
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selection Tournament selection Memetic algorithm Swarm intelligence Ant colony optimization Bees algorithm: a search algorithm which mimics the food foraging...
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(Australian TV series) Max-Min Ant System, a type of Ant colony optimization algorithm, see Ant colony optimization algorithms#Max-Min Ant System (MMAS) Search...
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humanoid ant algorithm (HUMANT) is an ant colony optimization algorithm. The algorithm is based on a priori approach to multi-objective optimization (MOO)...
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distribution algorithms (EDAs), sometimes called probabilistic model-building genetic algorithms (PMBGAs), are stochastic optimization methods that guide...
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Travelling salesman problem (redirect from Approximation algorithms for the traveling salesman problem)
devised for combinatorial optimization such as genetic algorithms, simulated annealing, tabu search, ant colony optimization, river formation dynamics...
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Simulated annealing (redirect from Simulated annealing algorithms)
Specifically, it is a metaheuristic to approximate global optimization in a large search space for an optimization problem. For large numbers of local optima, SA...
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intelligence, especially ant colony optimization Svennebring, Jonas; Koenig, Sven (2004), "Building terrain-covering ant robots" (PDF), Autonomous Robots...
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Chipperfield applied meta-optimization to differential evolution. Birattari et al. meta-optimized ant colony optimization. Statistical models have also...
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Outline of machine learning (redirect from Machine learning algorithms)
function Low-energy adaptive clustering hierarchy Anne O'Tate Ant colony optimization algorithms Anthony Levandowski Anti-unification (computer science) Apache...
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addition, many optimization algorithms, in particular the population-based algorithms, have advanced significantly. Whereas optimization methods are nearly...
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