optimizationswarm intelligenceSwarm-based optimization algorithms have prevailed in the field of metaheuristics for the past decades. With their application field spanning from combinatorial problems to continuous and mixed integer problems, swarm-based algorithms are currently part of the state-of-the-art...
Underwater image restoration using swarm-based algorithms and specific m?tricsCamilo Snchez Ferreira
Our experience is that traditional design algorithms tend to have problems finding optimal designs when there are several variables to optimize. They are likely to stall at a local optimum or break down because of the huge computational burden when there are many variables to optimize. Several ...
While usually swarm intelligence algorithms also have several disadvantages, including premature and slow convergence. Aiming at solving engineering complex layout problems satisfactorily, a new improved swarm-based intelligent optimization algorithm is presented on the basis of parallel genetic algorithms. In...
Compared with the existing algorithms for solving TSP using swarm intelligence, it has been shown that the size of the solved problems could be increased by using the proposed algorithm. Another PSO-based algorithm is proposed and applied to solve the generalized traveling salesman problem by ...
Compared with the existing algorithms for solving TSP using swarm intelligence, it has been shown that the size of the solved problems could be increased by using the proposed algorithm. Another PSO-based algorithm is proposed and applied to solve the generalized traveling salesman problem by ...
In this study, well-known evolutionary and swarm-based optimization algorithms are compared while solving the multilevel color image thresholding problem. As the objective function, the Kapur's maximum entropy method is used. Evolutionary algorithms used in the study are Evolution Strategy (ES), Gene...
It is obvious from wider spectrum of successful applications that metaheuristic algorithms are potential solutions to hard optimization problems. Among such algorithms are swarm-based methods like particle swarm optimization and ant colony optimization which are increasingly attracting new researchers. Despite...
Firefly algorithms for multimodal optimization. In Proceedings of the 5th international conference on stochastic algorithms: Foundations and applications (pp. 169–178). Berlin: Springer. Yang, X. (2010). Engineering optimization: An introduction with metaheuristic applications. Hoboken, NJ: Wiley. Book...
Salp swarm algorithm (SSA) is a unique swarm intelligent algorithm widely used for various practical applications due to its simple framework and good optimization performance. However, like other swarm-based algorithms, SSA yields local optimal solutions and has a slow convergence rate and low soluti...