A MOEA/D approach using two crossover strategies for the optimal dispatches of the combined cooling, heating, and power systems
Dexuan Zou, Mengdi Li, Haibin Ouyang
Topics & Concepts
CrossoverBattery (electricity)Mathematical optimizationGenetic algorithmMulti-objective optimizationPower (physics)Evolutionary algorithmConstraint (computer-aided design)Computer sciencePareto principleEngineeringMathematicsArtificial intelligenceMechanical engineeringPhysicsQuantum mechanicsIntegrated Energy Systems OptimizationHybrid Renewable Energy SystemsThermodynamic and Exergetic Analyses of Power and Cooling Systems