A New “Doctor and Patient” Optimization Algorithm: An Application to Energy Commitment Problem
Source abstract
Abstract
Regular assessments of events taking place around the globe can be a conduit for the development of new ideas, contributing to the research world. In this study, the authors present a new optimization algorithm named doctor and patient optimization (DPO). DPO is designed by simulating the process of treating patients by a physician. The treatment process has three phases, including vaccination, drug administration, and surgery. The efficiency of the proposed algorithm in solving optimization problems compared to eight other optimization algorithms on a benchmark standard test function with 23 objective functions is been evaluated. The results obtained from this comparison indicate the superiority and quality of DPO in solving optimization problems in various sciences. The proposed algorithm is successfully applied to solve the energy commitment problem for a power system supplied by a multiple energy carriers system.
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Research context
OpenAlex topics: Metaheuristic Optimization Algorithms Research · Smart Grid Energy Management · Advanced Multi-Objective Optimization Algorithms
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz 71557-13876, Iran
CROM Center for Research on Microgrids, Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
School of Engineering and Sciences, Tecnologico de Monterrey, 64849 Monterrey, Mexico
Electric Engineering Department, Polytechnic University of Catalonia (EEBE-UPC), 08019 Barcelona, Spain
Funding
Tecnologico de Monterrey
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