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201
A hybrid model for the optimum integration of renewable technologies in power generation systems
Published 2011“…The main purpose of this work is to assess the unavoidable increase in the cost of electricity of a generation system by the integration of the necessary renewable energy sources for power generation (RES-E) technologies in order for the European Union Member States to achieve their national RES energy target. The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …”
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202
Minimum UAV fog servers with maximum IoT devices association using genetic algorithms
Published 2021“…We then propose a heuristic sub-optimal approach based on genetic algorithm (GA) to decide on the minimum number of UAVs to be deployed and the IoT-to-UAV association. …”
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203
Machine Learning Model for a Sustainable Drilling Process
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doctoralThesis -
204
Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
Published 2021“…The effectiveness of TRIZ optimization operators in MGWO is evaluated by investigating the convergence behavior of GWO with and without TRIZ optimization operators. …”
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205
A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem
Published 2021“…Due to the complex nature of the capacitated vehicle routingproblem, metaheuristic optimization algorithms are widely used for tackling this type of challenge.Coronavirus Herd Immunity Optimizer (CHIO) is a recent metaheuristic population-based algorithm thatmimics the COVID-19 herd immunity treatment strategy. …”
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206
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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207
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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208
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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209
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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210
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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211
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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212
Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
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doctoralThesis -
213
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 -
214
Methods for system-on-chip test design, scheduling and optimization. (c2006)
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masterThesis -
215
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A decentralized load balancing approach for parallel search-tree optimization
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218
Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization
Published 2023Get full text
doctoralThesis -
219
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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220
A multi-objective planning approach for optimal DG allocation for droop based microgrids
Published 2021“…The proposed formulation is compared to existing planning algorithms for droop-based microgrids. The re-sults show that including the secondary control region in the optimization problem achieves lower volt-age deviations and no frequency deviations at all demand levels. …”
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