Description: The document is an excellent paper with a corresponding source code. In the Matlab software platform for the proposed genetic algorithm-based power systems market segment auction algorithms offer ladder-type curve, the two commonly used linear bidding curve bidding curve example in case of validation, the results show algorithm optimization results for the different nature of bidding curve slightly different, but both cases can be optimized for power purchase costs. Experimental results show that the algorithm is applied to sub-effectiveness and feasibility of bidding model, and is not limited form of bidding curve.
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基于遗传算法的电力市场分段竞价交易决策研究.doc
uniformXover.m
Untitled.m
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accountE.m
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arithbalXover.m
arithbalXover.asv
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b2f.m
bal.m
balance.m
balmodify.m
binaryExample.m
binaryMutation.m
boundaryMutation.m
boundmodify.m
boundmodify.asv
bpop对应的order.txt
C.txt
calcbits.m
Contents.m
coranaEval.m
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coranaMin.m
CP.txt
creatpop.m
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cyclicXover.m
delta.m
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EER.m
enhancederXover.m
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f2b.m
fitness.m
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fitnessline.m
fitnessPen.m
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