Increasing numbers of research articles position themselves within the theme of 'swarm intelligence', and there are growing numbers of algorithms that claim inspiration from swarm behaviour in nature. Broadly speaking, given the ways in which a wide variety of naturalDW Corne...
Y. Tan’s work [10] is a survey over parallel implementations of Swarm Intelligence algorithms but only GPU-based ones. It also included other algorithms such as Genetic Algorithm (GA) and Differential Evolution (DE). While our focus is one the parallelization approach, Tan diverged some attent...
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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 ...
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-...
Therefore, researchers have developed many metaheuristic algorithms and successfully applied them to the solution of optimization problems. Among them, Particle swarm optimization (PSO) algorithm6 is one of the most widely used swarm intelligence algorithms. However, the basic PSO has a simple operating...
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. ...
It is of great importance noting that dealing with PSO has some advantages when compared with other optimization algorithms, once it has fewer parameters to adjust, and the ones that must be set are widely discussed in the literature [3]. Advertisement 2. Particle swarm optimization: an ...
RQ-3What technologies are used to develop a design pattern for swarm intelligence algorithms ? • RQ-4What research methods have been introduced in swarm intelligence for optimization of smart farming processes ? 2. Research challenges and future directions ...
algorithms are used because of their simple implementation and low computational complexity. Apart from that, the algorithms are faster in convergence and have fewer parameters and better exploration (expl) as well as exploitation (expt) properties. The algorithms include swarm intelligent algorithms (...