The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we propose a new variant of fish school search algorithm, called rate learning-based fish school search algorithm (RL-FSSA), that uses a new refinement strategy to guide the population of fishes towards the best solutions. The fish motion is based on a collective sensorimotor behavior. Their learning ability determines the fish with the best position (i.e., leader). In each cycle, the...
Differential evolution (DE) is a high performance and easy to implement evolutionary algorithm. The DE algorithm with small population size (i.e., micro-DE) can further increase the efficiency of the algorithm. However, it also decreases its exploration capability, causing stagnation and pre-mature convergence. In this paper, the idea of exploration enhancement at the mutation level is proposed. The...
In order to balance the exploitation and exploration, a self-adaptive mutation cuckoo search algorithm was proposed in this paper. On the one hand, the adjustment of search step according to the distance between current and optimal nests was adopt, which is beneficial to improve convergence speed. On the other hand, the self-adaptive discovery rate was introduced to increase flexibility of algorithm...
In this paper, improved differential evolution (IDE) algorithm with variable 'del' parameter is presented. Recently developed IDE algorithm is used for global optimization of non-linear complex problems. The 'del' parameter is a predetermined level of tolerance for predefined allowable number of iterations which triggers the different mutation schemes in restart mechanism phase of IDE algorithm. The...
Harmony search algorithm (HS) is a meta-heuristic algorithm which is inspired by a process involving musical improvisation. It is a stochastic optimization technique, which is similar to genetic algorithms (GAs) and particle swarm optimizers (PSOs). And it has been widely applied in order to solve many complex optimization problems, including continuous and discrete problems, such as structure design,...
As a modern Evolutionary Algorithm, Differential Evolution (DE) is usually criticized for its slow convergence when compared to Particle Swarm Optimization (PSO) on the PSO’s benchmark functions. In this paper, by combing the merits of PSO and DE, we first present a new hybrid DE algorithm to accelerate its convergence speed. Then a novel mutation strategy with local and global search operators is...
Swarm intelligence algorithms have been successfully applied to intractable optimization problems. Bat algorithm is one of the latest optimization metaheuristics and research about its capabilities and possible improvements is at the early stage. This algorithm has been recently hybridized with differential evolution and improved results were demonstrated on standard benchmark functions for unconstrained...
This paper proposes a novel implementation of micro-Differential Evolution (μDE) that incorporates within the DE scheme an extra search move that attempts to improve the best solution by perturbing it along the axes. These extra moves complement the DE search logic and allows the exploration of the decision space from an alternative perspective. In addition, these extra moves at subsequent activations...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.