WebAug 26, 2024 · Thus, the IES robust stochastic optimisation model is constructed and solved with the hybrid shuffled frog-leaping and local search (HSFLA–LS) algorithm. Finally, a … WebMar 24, 2024 · Further, it is compared to some commonly used algorithms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO) and some of its derivates, modified Shuffled Frog Leaping Algorithm (mSFLA), Cuckoo Search (CS), and hybrid Cuckoo Search Genetic Algorithm (CS-GA).
A discrete shuffled frog-leaping algorithm based on heuristic ...
WebThis is a chronological table of metaheuristic algorithms that only contains fundamental algorithms. Hybrid algorithms and multi-objective algorithms are not listed in the table ... Shuffled Frog Leaping Algorithm SFLA Nature-inspired Bio-inspired 2006 Invasive Weed Optimization IWO Nature-inspired Plant-based 2006 Seeker ... WebJun 1, 2012 · The proposed rough set shuffled frog leaping knowledge inference model works in two phases. In the initial phase, the incremental rough set shuffled frog leaping algorithm is used to get the most relevant features. Identifying the relevant features is carried out using a fitness function, which uses the rough degree of dependency. e4tech saf report
Developing Shuffled Frog-Leaping Algorithm (SFLA) Method to ... - Hindawi
WebApr 19, 2013 · As an extension of the classic job-shop scheduling problem (JSP), the flexible job-shop (FJSP) is NP-hard and has a wide application background. In this paper, a … WebAug 26, 2024 · Thus, the IES robust stochastic optimisation model is constructed and solved with the hybrid shuffled frog-leaping and local search (HSFLA–LS) algorithm. Finally, a simulation analysis considering the uncertainty of energy purchase price based on the hybrid SFLA–LS algorithm is reduced by USD 1.63 (0.64%) and USD 3.34 (1.3%), … WebShuffled Frog Leaping Algorithm (SFLA) is a memetic meta-heuristic developed for combinatorial optimization by Eusuff and Lansey in 2003. It is a random search algorithm … csgo clicker logo