Search Results - subject:"Frog leaping algorithm"

Short-term electric load and temperature forecasting using wavelet echo state networks with neural reconstruction

Deihimi, Ali; Orang, Omid; Showkati, Hemen - In: Energy 57 (2013) C, pp. 382-401

modified shuffled frog leaping algorithm is used for optimizing ESNs. Both one-hour and 24-h ahead predictions are studied …

Persistent link: https://www.econbiz.de/10010809602

A novel approach to multi-objective optimal power flow by a new hybrid optimization algorithm considering generator constraints and multi-fuel type

Narimani, Mohammad Rasoul; Azizipanah-Abarghooee, Rasoul; … - In: Energy 49 (2013) C, pp. 119-136

This paper presents a new hybrid algorithm based on the Particle Swarm Optimization (PSO) and the Shuffle Frog Leaping algorithms (SFLA) for solving the Optimal Power Flow (OPF) in power systems. In consequence of economical issues and increasing of the social welfare, the OPF problem is turning...

Persistent link: https://www.econbiz.de/10011054508

A modified shuffle frog leaping algorithm for multi-objective optimal power flow

Niknam, Taher; Narimani, Mohammad rasoul; Jabbari, Masoud; … - In: Energy 36 (2011) 11, pp. 6420-6432

Shuffle Frog Leaping Algorithm (SLFA) to solve the multi-objective OPF problem. Furthermore, this paper presents a modified …

Persistent link: https://www.econbiz.de/10010811711

Application of the Shuffled Frog Leaping Algorithm for the Optimization of a General Large-Scale Water Supply System

Chung, Gunhui; Lansey, Kevin - In: Water Resources Management 23 (2009) 4, pp. 797-823

frog leaping algorithm optimization scheme (SFLA). The developed model was applied to two hypothetical water communities …

Persistent link: https://www.econbiz.de/10010794491

An Improved Multi-Objective Evolution Algorithm Based on Shuffled Frog Leaping

Luo, Jianping; Li, Xia; Chen, Min-Rong; Liu, Hongwei - ToKnowPress

In this paper, we present a meta-heuristic base on improved shuffled frog leaping algorithm (SFLA) to tackle the multi …

Persistent link: https://www.econbiz.de/10011165538