Modified cuckoo search algorithm for short-term hydrothermal scheduling

Nguyen, Thang Trung; Vo, Dieu Ngoc

doi:10.1016/j.ijepes.2014.10.004

Cited by 81 publications

(27 citation statements)

References 29 publications

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“…The complexity is mainly reflected in the following aspects. First, the JSP involves mixed-integer nonlinear programming, and its solution is often coded in both continuous and discrete variables; Second, the number of possible permutations and combinations rises in a geometrical manner; Third, the lack of global information tends to lure any algorithm into the local optimal trap, making it extremely hard to find the global optimal solution [6][7][8][9][10][11][12].…”

Section: Problem Descriptionmentioning

confidence: 99%

Job-Shop Scheduling Problem Based on Improved Cuckoo Search Algorithm

Hu¹,

Lei²,

Gao³

et al. 2018

Int. j. simul. model.

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This paper makes an in-depth exploration into the job-shop scheduling problem (JSP). After reviewing the related literature, the local search mechanism of the particle swarm algorithm (PSA) and the largespan search principle of standard cuckoo search algorithm (CSA) were combined into an improved cuckoo search algorithm (ICSA), which is capable of both local search and global search. Later, several simulation experiments were carried out on the LA type typical library proposed by Lawrence, and the stability and accuracy of the ICSA was contrasted with those of the PSA and the genetic algorithm (GA) based on the means and variances in multiple iterations. After the comparison, a convergence analysis of the ICSA was specially designed for our model. The results demonstrate that the ICSA provides a better tool for solving the JSP than other algorithms. The research findings lay a solid theoretical basis for the JSP in the actual production process.

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Section: Problem Descriptionmentioning

confidence: 99%

Job-Shop Scheduling Problem Based on Improved Cuckoo Search Algorithm

Hu¹,

Lei²,

Gao³

et al. 2018

Int. j. simul. model.

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“…Cuckoo Search (CS): The Cuckoo Search (CS) is a new and efficient population-based heuristic evolutionary algorithm, proposed by Yang and Deb [36], for solving optimization problems with the advantages of simple implementation and few control parameters. This algorithm is based on the obligate brood parasitic behavior of some cuckoo species combined with the Levy flight behavior of some birds and fruit flies [37]. In this algorithm exploration is done by discovering a new and better nest by a specific cuckoo.…”

Section: Meta Heuristic Algorithmsmentioning

confidence: 99%

Multi objective optimization of horizontal axis tidal current turbines, using Meta heuristics algorithms

Tahani

Babayan

Astaraei

et al. 2015

Energy Conversion and Management

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“…Short‐term HTC is still a potential researcher area due to its importance in power system operational planning . In actuality, it is highly nonlinear, nonconvex, and dynamic problem.…”

Section: Introductionmentioning

confidence: 99%

“…2 Short-term HTC is still a potential researcher area due to its importance in power system operational planning. [3][4][5] In actuality, it is highly nonlinear, nonconvex, and dynamic problem. Because of the limitation of the mathematical programing techniques, SHTC has been solved as a convex problem by considering their fuel cost function to be quadratic [6][7][8][9] and thus resulting in inaccurate results.…”

Section: Introductionmentioning

confidence: 99%

Short-term hydrothermal coordination using water cycle algorithm with evaporation rate

Haroon

Malik

2017

Int. Trans. Electr. Energ. Syst.

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Summary The demand of electrical energy is increasing and so is its cost. The conventional means of generation of electrical are the hydel and thermal. Their optimized mutual operation results in the most economic electrical energy for the end user. Therefore, the optimized operation of hydel and thermal plants known as hydrothermal coordination (HTC) is one of the important and challenging tasks in the field of power system operation. This paper investigates a modified version of a new nature inspired algorithm, water cycle algorithm called as evaporation rate–based water cycle algorithm (ERWCA) for the solution of HTC. This algorithm has its roots from the natural water cycle. The raindrops form streams, which flow to the rivers and eventually into the sea. The streams either merge into rivers and sea or they are too slow to reach the rivers or sea; the evaporation process occurs, which again causes the rainfall. Hence, new streams will be created. In this paper, ERWCA has been successfully applied to the problem of HTC. The complex constraints of the hydel and thermal network especially the prohibited discharge zones of hydel plants and the ramp rates of thermal plants, which are rarely taken into account, have been incorporated. The comparison of the results with other nature inspired techniques already available in the literature like particle swarm optimization and differential evolution shows the strength and potential of this new technique ERWCA in obtaining the better quality result.

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Modified cuckoo search algorithm for short-term hydrothermal scheduling

Cited by 81 publications

References 29 publications

Job-Shop Scheduling Problem Based on Improved Cuckoo Search Algorithm

Job-Shop Scheduling Problem Based on Improved Cuckoo Search Algorithm

Multi objective optimization of horizontal axis tidal current turbines, using Meta heuristics algorithms

Short-term hydrothermal coordination using water cycle algorithm with evaporation rate

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