The main characteristic of swarm intelligence algorithms is that they automatically evolve by stimulating the social behavior of organisms. By sharing information and taking the information of others into account, the behavior of the individuals is optimized to achieve a certain objective, which is ...
Das S, Abraham A, Konar A: Swarm Intelligence Algorithms in Bioinformatics. Computational Intelligence in Bioinformatics, Studies in Computational Intelligence 2008, 94:113-147.Das, S., Abraham, A., Konar, A.: Swarm Intelligence Algorithms in Bioinformatics. In: Kelemen, A., Abraham, A., Chen...
Python Implementation of the Swarm Intelligent (SI) Artificial Bee Colony Optimization Algorithm (ABC) pythonoptimizationswarm-intelligenceartificial-bee-colonyswarm-intelligence-algorithms UpdatedMar 19, 2020 Jupyter Notebook Quantum-Behaved Particle Swarm Optimization Algorithm ...
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swarm intelligence algorithms. Articles that combine experimental and theoretical work are especially welcome. Swarm Intelligence is the main journal in the field of Swarm Intelligence. The Editor in Chief, Marco Dorigo is one of the most notable researchers in the field of Swarm Intelligence. Dr. ...
By dividing three CEC benchmark sets into several problem types, this study made a large-scale performance comparison of 123 common swarm intelligence algorithms from several views. The experimental results show that for low-dimensionality, wide search space, and/or simple- and medium-complex ...
Recently, SI algorithms have attracted much attention of researchers and have also been applied successfully to solve optimization problems in engineering. However, for large and complex problems, SI algorithms consume often much computation time due to stochastic feature of the search approaches. Therefo...
There are also some works discussing other algorithms in this field. J. Wu’s “Solving unconstrained global optimization problems via hybrid swarm intelligence approaches” gives an overview of two efficient hybrid SGO approaches, namely, a real-coded genetic algorithm-based PSO (RGA-PSO) method ...
In this section, we present an overview ofevolutionary algorithmsand a summary of some well-known SI approaches. 2.1Fundamentals of SI and stochastic optimization The term “swarm intelligence” appeared inBeni and Wang (1993)when cellularrobotic systemswere empowered by the intelligence of swarms. ...
intelligence Algorithms PSO algorithms ACO algorithms Fireworks algorithms Fish school search Bees algorithms ABC algorithms BSO algorithms Cultural algorithms Social computing Genetic algorithms Differential evolution Memetic algorithms Bioinspired algorithm Cuckoo / Firefly / Bat / Pelican Algorithms Biogeography-...