Essays about: "Benchmark Optimization Problems"
Showing result 1 - 5 of 28 essays containing the words Benchmark Optimization Problems.
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1. Quantum Algorithms for Feature Selection and Compressed Feature Representation of Data
University essay from KTH/FysikAbstract : Quantum computing has emerged as a new field that may have the potential to revolutionize the landscape of information processing and computational power, although physically constructing quantum hardware has proven difficult,and quantum computers in the current Noisy Intermediate Scale Quantum (NISQ) era are error prone and limited in the number of qubits they contain.A sub-field within quantum algorithms research which holds potential for the NISQ era, and which has seen increasing activity in recent years, is quantum machine learning, where researchers apply approaches from classical machine learning to quantum computing algorithms and explore the interplay between the two. READ MORE
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2. 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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3. A Comparative Study on Optimization Algorithms and its efficiency
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: In computer science, optimization can be defined as finding the most cost-effective or notable achievable performance under certain circumstances, maximizing desired factors, and minimizing undesirable results. Many problems in the real world are continuous, and it isn't easy to find global solutions. READ MORE
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4. Optimal Control Actions in an Electrical Grid with Variable Renewable Energy Sources: Evaluation of the ANM4L Control Algorithms
University essay from Lunds universitet/Industriell elektroteknik och automationAbstract : The increasing amount of renewable energy in the electrical grid comes with several challenges, of which overvoltage and congestion (overcurrents) are the subjects of this work. One flexible way of handling these problems is active management by some control system. READ MORE
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5. Comparative Analysis of Ant Colony Optimization and Genetic Algorithm in Solving the Traveling Salesman Problem
University essay from Blekinge Tekniska HögskolaAbstract : Metaheuristics is a term for optimization procedures/algorithms that can be applied to a wide range of problems. These problems for which metaheuristics are used usually fall in the NP-hard category, meaning that they cannot be solved in polynomial time. This means that as the input dataset gets larger the time to solve increases exponentially. READ MORE
