Essays about: "Multi-objective optimization model"
Showing result 1 - 5 of 39 essays containing the words Multi-objective optimization model.
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1. Deep Reinforcement Learning and Simulation for the Optimization of Production Systems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The main objective of this master thesis project is to use the deep reinforcement learning (DRL) and simulation method for optimization of production systems. In this project, the Deep Q-learning Networks (DQN) algorithm is first used to optimize seven decision variables in Averill Law’s production system to find the best profit, with 99. READ MORE
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2. Models for solid waste and its management in Stockholm metropolitan area
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In the transition from a linear economy to a sustainable circular economy, waste management is critical. This thesis approaches the management of Municipal Solid Waste (MSW) from the perspective of a mathematical modelling. Within the scope of the thesis, three mathematical models were developed. READ MORE
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3. Investigating Multi-Objective Reinforcement Learning for Combinatorial Optimization and Scheduling Problems : Feature Identification for multi-objective Reinforcement Learning models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement Learning (RL) has in recent years become a core method for sequential decision making in complex dynamical systems, being of great interest to support improvements in scheduling problems. This could prove important to areas in the newer generation of cellular networks. READ MORE
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4. The economic and environmental impacts of transportation decisions : A multi-objective optimization
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Getinge AB is a global medical technology company. This master’s thesis is based on the outflow of capital equipments from Getinge’s factory in Växjö to four different sales and service units. READ MORE
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5. Multi-objective optimization for model selection in music classification
University essay from KTH/Optimeringslära och systemteoriAbstract : With the breakthrough of machine learning techniques, the research concerning music emotion classification has been getting notable progress combining various audio features and state-of-the-art machine learning models. Still, it is known that the way to preprocess music samples and to choose which machine classification algorithm to use depends on data sets and the objective of each project work. READ MORE