Optimal generation scheduling and dispatch of thermal generating units considering impact of wind penetration using hGWO-RES algorithm

Bhadoria, Ashutosh; Kamboj, Vikram Kumar

doi:10.1007/s10489-018-1325-9

Cited by 33 publications

(20 citation statements)

References 79 publications

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“…The proposed chaotic SMA method is applied for solving problem of truss design as shown in Fig. 12 [ 113 , 114 ]. Truss design problem depends on two variables and three parameters.…”

Section: Multi-disciplinary Engineering Design Problemsmentioning

confidence: 99%

“…The design specification for this kind of engineering problem as illustrated in Fig. 13 [ 113 , 114 ] is selected for reference. The chaotic SMA is applied to diminish the expense which includes the material cost and welding cost to form the vessel in cylindrical form.…”

Section: Multi-disciplinary Engineering Design Problemsmentioning

confidence: 99%

“…In welded beam design, welding is carried out by fusing different sections by molten metal as shown in Fig. 15 [ 113 , 114 ]. The main focus is on minimization of the making cost of the welded beam.…”

Section: Multi-disciplinary Engineering Design Problemsmentioning

confidence: 99%

“…16 . In beam design, there are five elements [ 114 ]. The main aim is minimization of the weight of the beam shown in Eq.…”

Section: Multi-disciplinary Engineering Design Problemsmentioning

confidence: 99%

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An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm

Dhawale

Kamboj

Anand

2021

Engineering with Computers

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“…The proposed chaotic SMA method is applied for solving problem of truss design as shown in Fig. 12 [ 113 , 114 ]. Truss design problem depends on two variables and three parameters.…”

Section: Multi-disciplinary Engineering Design Problemsmentioning

confidence: 99%

Section: Multi-disciplinary Engineering Design Problemsmentioning

confidence: 99%

Section: Multi-disciplinary Engineering Design Problemsmentioning

confidence: 99%

“…16 . In beam design, there are five elements [ 114 ]. The main aim is minimization of the weight of the beam shown in Eq.…”

Section: Multi-disciplinary Engineering Design Problemsmentioning

confidence: 99%

See 2 more Smart Citations

An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm

Dhawale

Kamboj

Anand

2021

Engineering with Computers

Self Cite

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“…The application objects of group algorithm in recent years have mainly focused on traveling salesman problem (TSP), ordering problem, generalized assignment problem, multiple knapsack problem, network routing problem and dynamic TSP, etc. [2]. This article attempts to construct the path, THERMAL SCIENCE: Year 2021, Vol.…”

Section: Introductionmentioning

confidence: 99%

Thermal control system based on ant colony algorithm

Zhang¹,

Zhou²

2021

THERM SCI

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In order to improve the accuracy and speed of solving the inverse problem of source-seeking heat conduction, the paper proposes a correlation-based ant colony optimization algorithm for the inverse problem of source-seeking heat conduction based on the characteristics of the influence of the heat source position on the boundary temperature distribution in the heat conduction problem. This method is used to construct the corresponding heuristic information value for each co-ordinate of the heat source location, which can reflect the degree of similarity between the temperature curve of the calculated measuring point and the temperature curve of the real measuring point, namely the correlation degree. The ant colony optimization algorithm the medium path selection mechanism and the structure of the objective function have been improved. The paper replaces the actual experiment with numerical calculation obtain the temperature of the measuring point, and performs computer programming experiment on the inverse problem. The calculation results show that the calibration method of this heuristic information value and the objective function the construction method can distinguish the quality of the path well, thereby increasing the speed of the ant colony converging to the best path. The computational efficiency is improved by 18-60% compared with the ant colony algorithm that does not consider the correlation.

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A levy flight based strategy to improve the exploitation capability of arithmetic optimization algorithm for engineering global optimization problems

Dhawale

Kamboj

Bath

2023

Trans Emerging Tel Tech

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The existing arithmetic optimization algorithm is a meta-heuristics algorithm that utilizes distribution behaviors for the different parameters in mathematics. The different mathematical operator like division, subtraction, addition, and multiplication holds the inherent capability to explore global maxima and minima. In the proposed research, levy flight-based improved arithmetic optimization algorithm has been proposed for better optimal solutions to various engineering design problems. The fundamental arithmetic optimization algorithm's local search is slow and has a slow convergence rate due to its weak exploitation capacity. In the proposed work, the exploration and exploitation phase of the existing arithmetic optimization algorithm has been enhanced using the levy flight mechanism. In order to validate the effectiveness of the proposed optimizer, the improved algorithm has been tested for 23 standard benchmark problems and 10 real-life engineering design problems. The proposed algorithm has been compared with other classical algorithms like biogeography based optimization algorithm, arithmetic optimization algorithm, moth-flame optimization algorithm, genetic algorithm, flower pollination algorithm, particle swarm optimization, gray wolf optimization algorithm, BAT algorithm, chi-square algorithm, firefly algorithm, gravitational search algorithm, and differential evolution algorithm. The obtained result reveals that the proposed hybrid levy flight arithmetic optimization algorithm performs best on the number of test functions including engineering design problems with excellent fitness value and excellent convergence. This article is helpful to improve the exploitation capability of arithmetic optimization algorithms for engineering global optimization problems.

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Optimal generation scheduling and dispatch of thermal generating units considering impact of wind penetration using hGWO-RES algorithm

Cited by 33 publications

References 79 publications

An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm

An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm

Thermal control system based on ant colony algorithm

A levy flight based strategy to improve the exploitation capability of arithmetic optimization algorithm for engineering global optimization problems

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