Steps for obtaining a complete Pareto frontier.

<div><p>Engineering frequently deals with multi-objective optimization problems. In the scheduling of combined heat and power systems, the competing goals of economic cost and pollutant emission are challenging for conventional single-objective algorithms to handle, necessitating the use...

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Bibliographic Details
Main Author:	Tao Dong (15551) (author)
Published:	2025
Subjects:	Evolutionary Biology Ecology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified seven generator units quadratic mutation links practical engineering applications one heating unit hyper volume metric exhibits strong adaptability adding elite populations 200285 &# 8201 congestion distance calculation research design improves objective optimization problems standard curve better node system deployment inverted generational distance objective optimization algorithms objective pso algorithm giving better performance power system based objective algorithms generational distance optimization capabilities power system research demonstrates power systems performed better uniformly distributed scaling factor results revealed pollution emissions pollution emission pollutant emission ieee 30 fuel cost environmental benefits dominated sorting conventional single competing goals combined heat adopting non
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Steps for obtaining a complete Pareto frontier.

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