Abstract In order to handle large scale problems this study has used shuffled frog leaping algorithm. This algorithm is an optimization method based on natural memetics that uses a new two-phase modification to it to have a better search in the problem space. The suggested algorithm is evaluated by comparing to some well known algorithms using several benchmark optimization problems. The simulation results have clearly shown the superiority of this algorithm over other well-known methods in the area
Dynamic optimization problems challenge traditional evolutionary algorithms seriously since they, on...
Dynamic optimization problems challenge traditional evolutionary algorithms seriously since they, on...
This paper proposes Hybrid SFL-Bees Algorithm that combines strengths of Shuffled Frog Leaping Algor...
Shuffled frog leaping algorithm is a memetic metaheuristic and population based intelligent inquiry ...
Shuffled frog leaping algorithm (SFLA) is a meta-heuristic to handle different large-scale optimizat...
Abstract – As a novel optimization technique, chaos has gained much attention and some applications ...
In this paper, through the analysis of the artificial intelligence algorithm, shuffled frog leaping ...
This paper proposes a shuffled frog leaping algorithm based on population diversity feedback. The al...
Abstract: To solve the problems of nonlinear and input constraints in the iterative learning control...
This paper presents a modified Shuffled Frog Leaping Algorithm (SFLA) applied to the design of water...
International audienceIn this paper, we present a new meta-heuristic approach (memetic algorithm) to...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
AbstractStochastic search algorithms that take their inspiration from nature are gaining a great att...
The general problem of multiprocessor scheduling is stated as scheduling tasks on a multiprocessor s...
Import 22/07/2015V této bakalářské práci je popsán princip optimalizace, přírodou inspirované algori...
Dynamic optimization problems challenge traditional evolutionary algorithms seriously since they, on...
Dynamic optimization problems challenge traditional evolutionary algorithms seriously since they, on...
This paper proposes Hybrid SFL-Bees Algorithm that combines strengths of Shuffled Frog Leaping Algor...
Shuffled frog leaping algorithm is a memetic metaheuristic and population based intelligent inquiry ...
Shuffled frog leaping algorithm (SFLA) is a meta-heuristic to handle different large-scale optimizat...
Abstract – As a novel optimization technique, chaos has gained much attention and some applications ...
In this paper, through the analysis of the artificial intelligence algorithm, shuffled frog leaping ...
This paper proposes a shuffled frog leaping algorithm based on population diversity feedback. The al...
Abstract: To solve the problems of nonlinear and input constraints in the iterative learning control...
This paper presents a modified Shuffled Frog Leaping Algorithm (SFLA) applied to the design of water...
International audienceIn this paper, we present a new meta-heuristic approach (memetic algorithm) to...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
AbstractStochastic search algorithms that take their inspiration from nature are gaining a great att...
The general problem of multiprocessor scheduling is stated as scheduling tasks on a multiprocessor s...
Import 22/07/2015V této bakalářské práci je popsán princip optimalizace, přírodou inspirované algori...
Dynamic optimization problems challenge traditional evolutionary algorithms seriously since they, on...
Dynamic optimization problems challenge traditional evolutionary algorithms seriously since they, on...
This paper proposes Hybrid SFL-Bees Algorithm that combines strengths of Shuffled Frog Leaping Algor...