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Economic-environmental analysis of combined heat and power-based reconfigurable microgrid integrated with multiple energy storage and demand response program


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10.1088/1755-1315/781/4/042010

Optimal scheduling of multi-park integrated energy system under renewable energy quota considering demand side response


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10.1016/j.apenergy.2020.116145

An Artificial Intelligence based scheduling algorithm for demand-side energy management in Smart Homes


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10.22219/jtiumm.vol22.no2.211-223

Solving Just-in-Time Single Machine Scheduling with Variable Discrete Speed Machine using Hybrid NSGA-II



Self-adjusting multi-objective scheduling based on Monte Carlo Tree Search for matrix production assembly systems



Multi-objective multi-factory scheduling



Multi-objective optimization of smart community integrated energy considering the utility of decision makers based on the Lévy flight improved chicken swarm algorithm



A multi-objective scheduling algorithm for multi-mode resource constrained projects in the presence of uncertain resource availability



A simple two-agent system for multi-objective flexible job-shop scheduling



Multi-objective automated guided vehicle scheduling based on MapReduce framework



Multi-objective scheduling on two dedicated processors



An NSABC algorithm for multi-aisle AS/RS scheduling optimization


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10.1109/ICIRCA51532.2021.9544919

Multi-Objective Scheduling Model of Construction Project Based on Genetic Algorithm: A Systematic Perspective



Development of Multi-Objective Scheduling Model for Construction Projects Using Opposition-Based NSGA III


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10.1088/1742-6596/1907/1/012018

A multi-objective scheduling method for smart grid loads based on improved GSO algorithm



Elite learning Harris hawks optimizer for multi-objective task scheduling in cloud computing



HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing



A Metaheuristic Framework for Dynamic Virtual Machine Allocation With Optimized Task Scheduling in Cloud Data Centers



Towards a novel NSGA-II-based approach for multi-objective scientific workflow scheduling on hybrid clouds


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Multi Objective Scheduling
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