A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Conventional and Metaheuristic Optimization Algorithms for Solving Short Term Hydrothermal Scheduling Problem: A Review
2021
IEEE Access
Preserved Fulltext
Short term hydrothermal scheduling (STHTS) is a non-linear, multi-modal and very complex constrained optimization problem which has been solved using several conventional and modern metaheuristic optimization ...
INDEX TERMS Short term hydrothermal scheduling, conventional algorithms, meta-heuristic algorithms, no free lunch theorem. VOLUME 9, 2021 D. ...
ACKNOWLEDGMENT The authors would like to thank Power Planners International Pvt. ...
doi:10.1109/access.2021.3055292
fatcat:xnb7xfhvgbht3diqqnht633b6u
Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch: A Review
2018
Journal of Energy Research and Reviews
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
It is a technique of determining the most efficient, low cost and reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. ...
Cuckoo search algorithm (CSA) is an effective and highly reliable swarm intelligence based optimization approach. ...
The problem formulation combined both optimal power flow (OPF) and short-term hydrothermal scheduling (STHTS) problem. ...
doi:10.9734/jenrr/2018/v1i29794
fatcat:nwakttmb6fax7j2v5ej4lhadni
Teaching Learning Based Optimization: Application And Variation
2016
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This report presents a brief intro to the TLBO algorithm and its applications as well as the variations. ...
The purpose of this algorithm ranging from different application like scheduling,hydrothermal energy,water forecasting in urban development for forecasting th e demand of water. ...
Shuffled Frog Leaping algorithm works on the principle of communication among the frogs which works in groups. ...
doi:10.5281/zenodo.1468769
fatcat:rk6cficsqnfmrmoi5jjqmbhv3u
A novel approach to minimum attribute reduction based on quantum-inspired self-adaptive cooperative co-evolution
2013
Knowledge-Based Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
In this paper, a novel and efficient minimum attribute reduction algorithm based on quantum-inspired self-adaptive cooperative co-evolution incorporated into shuffled frog leaping algorithm is proposed ...
The subsets are assigned the self-adaptive mechanism according to their historical performance records, and each of them is evolved by the quantum-inspired shuffled frog leaping algorithm. ...
Acknowledgements The authors would like to thank the anonymous reviewers for their insightful comments and suggestions which greatly improve the quality of this paper. ...
doi:10.1016/j.knosys.2013.03.008
fatcat:vzojhizr4rgfbgccyzetifnq6q
Optimization Economic and Emissions of Hydro and Thermal Power Plants in 150 kV Systems Using the Dragonfly Algorithm
2021
Jurnal INFORM
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
With 2016b using Matlab applications and the lambda iteration process, the analysis method uses the Dragonfly Algorithm method. ...
The research aims to optimize hydro generation to minimize thermal generation expense and address economic problems and pollution from shipping. ...
Elattar analyzed the optimization theme, namely economic dispatch and emissions, using the modified shuffle frog leaping (MSFLA) algorithm system [5] . Vinay Kumar Jadoun et al. ...
doi:10.25139/inform.v6i1.3320
fatcat:vzrlp2cfavcmdkgy42jo42joeu
Multiple Fuel Machines Power Economic Dispatch Using Stud Differential Evolution
2018
Energies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In SC operator, a best vector gives its optimal information to all other population members through mating. ...
The proposed optimizer is a variant of Differential Evolution (DE) characterized as a Stud Differential Evolution (SDE), which has been proposed earlier and implemented on a hydrothermal energy system. ...
problem for the 2700 MW power demand and are compared to other optimizers in literature such as Improved Genetic Algorithm with Multiplier Updating (IGA_MU) [28] , Modified Shuffled Frog Leaping Algorithm ...
doi:10.3390/en11061393
fatcat:ezktcfoqdrcxhfryjsmk745qyi
Solution for Different Convex and Non-Convex Economic Dispatch Problems for Large Scale System by Stochastic Search Algorithm
2019
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This paper represents an algorithm motivated by the 'law of gravity' and interaction among the masses to solve ELD problems, called 'Gravitational Search Algorithm'. ...
The main objective of the Economic Load Dispatch (ELD) is to determine the power by all committed generating units so that generating cost is minimized, while satisfying the load demand and inequality ...
In 2013, Reddy et al., proposed a hybrid shuffled differential evolution (SDE) [32] algorithm which combined the benefits of shuffled frog leaping algorithm (SFLA) and DE to solve non-convex ELD problem ...
doi:10.5281/zenodo.3356692
fatcat:do6mf5ijsbdejbkzxr6kf5yk4a
An Improved Tree Seed Algorithm for Optimization Problems
2018
International Journal of Machine Learning and Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Tree-seed algorithm (TSA) is inspired from relation between trees and seeds that a population-based evolutionary algorithm. when create process of a seed occur in TSA, the position updating of each dimension ...
Index Terms-Evolutionary calculation, heuristic search, optimization problems, tree seed algorithm. ...
new operators into existing metaheuristic algorithms such as PSO, ACO and Shuffled Frog Leaping Algorithm (SFLA) to increase the performance of them. ...
doi:10.18178/ijmlc.2018.8.1.657
fatcat:ctdgjilroveb7fszttqp7saume
Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems
2016
Decision Science Letters
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Acknowledgement The author would like to thank the anonymous referees for constructive comments on the earlier version of this paper. ...
Roy (2013) Applied a modified version of TLBO for solving the short term Hydro-Thermal Scheduling problem considering valve point effect and prohibited discharge constraint. 45. ...
Jiang and Zhou (2013) Proposed a hybrid differential evolution and TLBO (hDE-TLBO) algorithm to solve the multiobjective short-term optimal hydro-thermal scheduling. 27. Krishanand et al. ...
doi:10.5267/j.dsl.2015.9.003
fatcat:ahqscfskdbaypgzvekfiwezdle
Parameter Estimation of Induction Machine Single-Cage and Double-Cage Models Using a Hybrid Simulated Annealing–Evaporation Rate Water Cycle Algorithm
2020
Mathematics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The proposed algorithm is applied to nameplate data, measured data found in the literature, and data measured experimentally on a laboratory three-phase induction machine operating as an induction motor ...
Furthermore, it is shown that the SA-ERWCA has the best convergence characteristics compared to other algorithms for induction machine parameter estimation in the literature. ...
It should be noted that the ERWCA is a powerful algorithm which has a lot of very successful applications in estimation problems, such as for short-term hydrothermal scheduling [77] , environmental economic ...
doi:10.3390/math8061024
fatcat:pmwwdbkv2vbtjayuatsprla3ii
Nature-Inspired Algorithms Applications to Power System Optimization
2021
Aswan University Journal of Sciences and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Nature-inspired algorithms are still at a very early stage with a relatively short history, it has come up as a new era in comparing with many traditional methods; however, natureinspire algorithms have ...
Nature is the best tutor and its designs and strengths are extremely massive and strange that it gives inspiration to us to imitate nature to solve hard and complex problems in power system. ...
problem, Maximum power point tracking, dynamic security border identification, Regional energy trade, Transmission Network Expansion and Planning, short-term hydrothermal scheduling, security assessment ...
doi:10.21608/aujst.2021.226479
fatcat:onicsotjlnbpbbepynluyk5wpe
Hybrid Optimization Algorithm of Particle Swarm Optimization and Cuckoo Search for Preventive Maintenance Period Optimization
2016
Discrete Dynamics in Nature and Society
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
By making use of the advantages of particle swarm optimization (PSO) and cuckoo search (CS) algorithm, a hybrid optimization algorithm of PSO and CS is proposed to solve the PMPOM problem. ...
Experiment results show that the proposed algorithm has advantages of strong optimization ability and fast convergence speed to solve the PMPOM problem. ...
Acknowledgments The study was supported by the National Natural Science Foundation of China (Grant no. 71201026), the Natural Science Foundation of Guangdong (no. 2015A030310274, no. 2015A030310415, and ...
doi:10.1155/2016/1516271
fatcat:57y4nzmi65cylpk3tay3rokx4y
A comprehensive Review on Evolutionary Optimization Techniques applied for Unit Commitment Problem
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
A binary and improved binary shuffled frog leaping algorithm (BSFLA and IBSFLA) based approach was presented by Barati and Farsangi [192] . ...
It is possible to meet the necessary power demand under more than a few operating plans, with on/off position of generating units, over a short term scheduling, with the prospect of reducing total generation ...
doi:10.1109/access.2020.3010275
fatcat:5zufg4upj5g5lhxbvipfppggnu