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2. Ant colony optimization algorithms - Wikipedia

   en.wikipedia.org/wiki/Ant_colony_optimization...

   In the ant colony optimization algorithms, an artificial ant is a simple computational agent that searches for good solutions to a given optimization problem. To apply an ant colony algorithm, the optimization problem needs to be converted into the problem of finding the shortest path on a weighted graph. In the first step of each iteration ...

3. Humanoid ant algorithm - Wikipedia

   en.wikipedia.org/wiki/Humanoid_Ant_algorithm

   The humanoid ant algorithm (HUMANT) [1] is an ant colony optimization algorithm. The algorithm is based on a priori approach to multi-objective optimization (MOO), which means that it integrates decision-makers preferences into optimization process. [2] Using decision-makers preferences, it actually turns multi-objective problem into single ...

4. Evolutionary algorithm - Wikipedia

   en.wikipedia.org/wiki/Evolutionary_algorithm

   Ant colony optimization is based on the ideas of ant foraging by pheromone communication to form paths. Primarily suited for combinatorial optimization and graph problems. Particle swarm optimization is based on the ideas of animal flocking behaviour. Also primarily suited for numerical optimization problems.

5. Simulated annealing - Wikipedia

   en.wikipedia.org/wiki/Simulated_annealing

   Graduated optimization digressively "smooths" the target function while optimizing. Ant colony optimization (ACO) uses many ants (or agents) to traverse the solution space and find locally productive areas. The cross-entropy method (CE) generates candidate solutions via a parameterized probability distribution. The parameters are updated via ...

6. Evolutionary computation - Wikipedia

   en.wikipedia.org/wiki/Evolutionary_computation

   Evolutionary computing techniques mostly involve metaheuristic optimization algorithms. Broadly speaking, the field includes: Agent-based modeling. Ant colony optimization; Particle swarm optimization; Swarm intelligence; Artificial immune systems; Artificial life. Digital organism; Cultural algorithms; Differential evolution; Dual-phase evolution

7. Genetic algorithm - Wikipedia

   en.wikipedia.org/wiki/Genetic_algorithm

   Ant colony optimization (ACO) uses many ants (or agents) equipped with a pheromone model to traverse the solution space and find locally productive areas. Although considered an Estimation of distribution algorithm , [ 64 ] Particle swarm optimization (PSO) is a computational method for multi-parameter optimization which also uses population ...