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- W2377153160 abstract "The paper presents a chaotic-genetic hybrid optimization method(CGHOM) for solving unit commitment problem under low-carbon power dispatch.Generation Scheduling was encoded by control genes and parameter genes,and the diversity of initial population was improved by combining with priority of electricity-carbon characteristics,chaotic map and randomly generation;.The disadvantage which is premature convergence of genetic algorithms was improved by importing chaotic iterative search into the evolutionary process of genetic algorithm and constructing a new mutation operator,furthermore,the goal of speeding up the rate of convergence was reached by using the priority of electricity-carbon characteristics to determine the range of offset in the process of variation.The example shows that CGHOM has good convergence characteristics and global search ability." @default.
- W2377153160 created "2016-06-24" @default.
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- W2377153160 date "2013-01-01" @default.
- W2377153160 modified "2023-09-23" @default.
- W2377153160 title "A Chaotic-genetic Hybrid Optimization Method for Solving Unit Commitment Problem under Low-carbon Power Dispatch" @default.
- W2377153160 hasPublicationYear "2013" @default.
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