An intelligent computing technique based on a dynamic-size subpopulations for unit commitment problem
Sign Up to like & getrecommendations! Published in 2019 at "OPSEARCH"
DOI: 10.1007/s12597-019-00388-x
Abstract: A new intelligent computing based approach for solving multi-objective unit commitment problem (MOUCP) and its fuzzy model is presented in this paper. The proposed intelligent approach combines binary-real-coded genetic algorithm (BRCGA) and K-means clustering technique… read more here.
Keywords: technique; commitment problem; intelligent computing; unit ... See more keywords
Application of Binary Slime Mould Algorithm for Solving Unit Commitment Problem
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DOI: 10.1109/access.2023.3273928
Abstract: A challenging engineering optimization problem in electrical power generation is the unit commitment problem (UCP). Determining the scheduling for the economic consumption of production assets over a specific period is the premier objective of UCP.… read more here.
Keywords: problem; binary slime; unit commitment; slime mould ... See more keywords
An Efficient Robust Solution to the Two-Stage Stochastic Unit Commitment Problem
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DOI: 10.1109/tpwrs.2017.2683263
Abstract: This paper provides a reformulation of the scenario-based two-stage unit commitment problem under uncertainty that allows finding unit-commitment plans that perform reasonably well both in expectation and for the worst case. The proposed reformulation is… read more here.
Keywords: unit; commitment problem; two stage; unit commitment ... See more keywords
Intentions to Steal and the Commitment Problem. The Role of Moral Emotions and Self-Serving Justifications
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DOI: 10.1177/14747049221125105
Abstract: This study focuses on determinants underlying young persons” self-reported intentions to steal a small amount of money. From an evolutionary standpoint, theft is a frequency-dependent strategy that may have been favored because it gave individuals… read more here.
Keywords: serving justifications; intentions steal; commitment problem; self serving ... See more keywords