DHIMAN: A novel algorithm for economic Dispatch problem based on optimization metHod usIng Monte Carlo simulation and Astrophysics coNcepts

被引：15

作者：

Dhiman, Gaurav ^{[1
]}

Singh, Pritpal ^{[2
]}

Kaur, Harsimran ^{[3
]}

Maini, Ritika ^{[3
]}

机构：

[1] Thapar Inst Engn & Technol, Comp Sci & Engn Dept, Patiala 147004, Punjab, India

[2] Smt Chandaben Mohanbhai Patel Inst Comp Applicat, CHARUSAT Campus, Anand 388421, Gujarat, India

[3] Govt Bikram Coll Commerce, Dept Comp Sci, Patiala 147004, Punjab, India

来源：

MODERN PHYSICS LETTERS A | 2019年 / 34卷 / 04期

关键词：

Astrophysics; Quantum; Schrodinger; Monte Carlo; PARTICLE SWARM OPTIMIZATION; HYBRID DIFFERENTIAL EVOLUTION; SPOTTED HYENA OPTIMIZER; MULTIOBJECTIVE OPTIMIZATION; EMISSION DISPATCH; GENETIC ALGORITHM; LOAD; FLOW;

D O I：

10.1142/S0217732319500329

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

This paper presents a new model using optimization approach for efficient prediction of load in real-life environment. Monte Carlo simulation and Schrodinger equations provide the effective number of solutions. This technique is useful in representation of relationships between different models. The proposed algorithm is verified and validated with various state-of-the-art approaches for solving economic load power dispatch problem to demonstrate its efficiency. Experimental results signify that the proposed algorithm is more precise than existing competing models.

引用

页数：14

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