[PDF] Top 20 An Efficient Modified Shuffled Frog Leaping Optimization Algorithm

... stochastic optimization methods that mimic the metaphor of natural biological evolution and/or the social behavior of ...species. Shuffled Frog Leaping (SFL) [11, 12] is one of the new EAs ... See full document

... Abstract: Shuffled frog leaping algorithm (SFLA) is an ongoing expansion to the group of evolutionary algorithm that imitates the societal and natural conduct of ...swarm ... See full document

... This paper has proposed a model to select the optimal machining parameters in milling operations applying a stochastic search algorithm, a modified Shuffled Frog Leaping ... See full document

... Colony Optimization (IEMACO) based routing algorithm. The algorithm initially accelerates its speed of convergence for that of the routing algorithm and this will reduce the route discovery ... See full document

... constrained optimization problem with an objective function incorporating both the real power loss and ...Meta-Heauristic algorithm known as Modified shuffled frog leap is applied for ... See full document

... However SFLA has the shortages of premature convergence and poor accuracy. To avoid the shortcomings and improve its performance, many SFLA’s variations are proposed. The attraction-repulsion mechanism is integrated into ... See full document

... powerful optimization algorithm that has shown superior performance than a number of evolutionary algorithm BA [19], KH [20-21], CSA [22-24], HS [25], FA [26-27], TLBO [28-29], CA [30], HBMO ... See full document

... SFLA algorithm is very difficult to find the best direction of all ...worst frog uses a single step search strategy for each low dimensional ...new frog abtains a better solution than the worst ... See full document

... called Shuffled Frog Leaping Algorithm (SFLA) - Hill Climbing (HC) is projected, which presented HC to SFLA through the combination of fast search technique of HC and global search plan of ... See full document

... combined algorithm was proposed based on the frog leap algorithm and cellular learning ...proposed algorithm, learning automata in each cell acts as the brain of memeplexes in the ...proposed ... See full document

... the optimization of cutting parameters such as speed, feed and machining time for turning ...be modified to any kind of machining process and by applying this developed algorithm the total machining ... See full document

... shuffled frog-leaping algorithm (SFLA) has been developed for solving combinatorial optimization problems ...The algorithm contains elements of local search and global information ...The ... See full document

... This algorithm combine the advantages of memetic evolvement algorithm and particle swarm optimization (PSO) The algorithm change message not only in the local exploration but also in the ... See full document

... L. Jebaraj received the Degree in Electrical and Electronics Engineering from The Institution of Engineers (India), Kolkata and Masters Degree (Distn.) in Power Systems Engineering from Annamalai University, Chidambaram, ... See full document

... multiobjective optimization problem. Furthermore the multiobjective optimization problem is a NP-complete problem, which we can not find a polynomial time al- gorithm to solve ... See full document

... reliability optimization is aimed to obtain the high- est reliability with seeking a best design scheme in some resource-constraint conditions, or to achieve maximum economic benefits and minimizing investment ... See full document

... various optimization algorithms. We have used Artificial Bee Colony Algorithm, Interactive Artificial Bee Colony Algorithm and Shuffled Frog Leaping Algorithm for ... See full document

... the leaping rule by extending the leaping step size and adding a leaping inertia component to account for social ...extremal optimization into SFLA to enhance the local search ...Evolution(DE) ... See full document

... SFLO algorithm is a meta-heuristic method that mimics the memetic evolution of a group of frogs as seeking for the position that has the maximum amount of available ...SFLO algorithm to optimization ... See full document

... science, optimization refers to the selection of a best element from some set of available ...Evolutionary optimization techniques can be used for getting near optimal solutions of difficult ... See full document