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361
Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review
Published 2023Subjects: -
362
A new minimum curvator multi-step method for unconstrained optimization
Published 1998“…Multistep quasi-Newton methods for optimization were derived by J. A. Ford and I. A. Moghrabi [J. …”
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conferenceObject -
363
A decentralized load balancing approach for parallel search-tree optimization
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conferenceObject -
364
An enhanced binary artificial rabbits optimization for feature selection in medical diagnosis
Published 2023“…ARO is a recent swarm-based optimization algorithm that mimics rabbits’ natural survival tactics and eating habits. …”
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365
Economic load dispatch multiobjective optimization procedures usinglinear programming techniques
Published 1995“…This paper outlines the optimization problem of real and reactive power, and presents the new algorithm for studying the load shedding and generation reallocation problem in emergencies where a portion of the transmission system is disabled and an AC power solution cannot be found for the overloaded system. …”
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366
Fuzzy simulated evolution for power and performance optimization ofVLSI placement
Published 2001“…This is a hard multiobjective combinatorial optimization problem with no known exact and efficient algorithm that can guarantee finding a solution of specific or desirable quality. …”
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367
Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization
Published 2023“…The Q value plays a crucial role in estimating future state values within a Kalman filter tracking system. Proximal Policy Optimization (PPO), a state-of-the-art policy optimization algorithm, was employed to determine the optimal Q value that enhances tracking performance, as measured by Root Mean Square Error (RMSE). …”
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368
Optimization of Battery Electric Bus Charging under Varying Operating Conditions
Published 2020“…This paper proposes an optimization algorithm based on Dynamic Programming that minimizes the total BEB energy costs and battery replacement costs by optimally controlling the BEB daily charging power throughout the year, considering the varying operating conditions. …”
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conferenceObject -
369
Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization
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doctoralThesis -
370
A hybrid Harris Hawks optimizer for economic load dispatch problems
Published 2022“…This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. …”
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371
A hybrid Harris Hawks optimizer for economic load dispatch problems
Published 2023“…This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. …”
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372
A Hybrid Harris Hawks Optimizer for Economic Load Dispatch Problems
Published 2022“…This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. …”
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373
Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
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doctoralThesis -
374
Energy removal in dynamical systems through an optimal sequence of constraint application
Published 2017“…The optimization process is illustrated by means of simple mass-spring and membrane systems and the corresponding problems are solved using a genetic algorithm.…”
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conferenceObject -
375
Methods for system-on-chip test design, scheduling and optimization. (c2006)
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masterThesis -
376
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
Published 2022“…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …”
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377
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378
Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective
Published 2023“…This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space Exploration. …”
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379
Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems
Published 2022“…Therefore, the paper discusses the development of the Lévy flight-based reptile search algorithm with local search capability and evaluates its potential against challenging power systems engineering optimization problems. …”
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380
Assigning proctors to exams using scatter search. (c2006)
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masterThesis