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A multi-objective planning approach for optimal DG allocation for droop based microgrids
Published 2021“…A secondary control operating region is mathematically formulated and incor-porated in the multi-objective optimization problem to constrain the optimal droop characteristic within the acceptable frequency and voltage thresholds. …”
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An evolutionary algorithm for solving the geometrically constrained site layout problem
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3
Multi-Mode Resource Constrained Project Scheduling Problem with Material Ordering to Maximize NPV
Published 2018Get full text
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4
On Power-Constrained System-on-chip Test Scheduling Using Precedence Relationships
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5
Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities
Published 2002“…loosely versus tightly constrained layouts. In most problems considered where the total-objects-to-site-area ratio did not exceed 60%, the algorithm returned close to optimal solutions in a reasonable time.…”
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Squirrel Search Algorithm for Portfolio Optimization
Published 2019“…The proposed SSA metaheuristic approach is compared with a variety of approaches presented in the literature such as traditional single metaheuristics, hybrid metaheuristic approaches and multi-objective optimization approaches for portfolio optimization. …”
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7
Control and Optimization of Membrane Biological Reactor Processes
Published 2011Get full text
doctoralThesis -
8
CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction
Published 2012Get full text
doctoralThesis -
9
Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm
Published 2005“…The optimal VAR dispatch problem is formulated as a nonlinear constrained multiobjective optimization problem where the real power loss and the bus voltage deviations are to be minimized simultaneously. …”
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Multiobjective optimal power flow using strength Pareto evolutionary algorithm
Published 2004“…In this paper, a novel multiobjective evolutionary algorithm for optimal power flow (OPF) problem is presented. The OPF problem is formulated as a nonlinear constrained multiobjective optimization problem where the fuel cost and the voltage stability index are to be minimized simultaneously. …”
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Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests
Published 2023“…We validate U-scores by having them determine the winners of the CEC 2022 competition on single objective, bound-constrained numerical optimization.…”
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A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem
Published 2003“…The optimal VAR dispatch problem is formulated as a nonlinear constrained multiobjective optimization problem where the real power loss and the bus voltage deviations are to be minimized simultaneously. …”
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Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT)
Published 2017“…The two versions of the optimization problem are nonlinearly constrained where the objective function is the material weight of the supporting truss. …”
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Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System
Published 2025“…We further propose a hybrid Particle Swarm Optimization (PSO) algorithm with a multi-objective cost function to optimize VSG controller gains. …”
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15
Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
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16
An evolutionary algorithm for network topology design
Published 2001“…The topology design of campus networks is a hard constrained combinatorial optimization problem, dictated by physical and technological constraints and must optimize several objectives. …”
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A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS
Published 2020“…ABSTRACT The topology design of campus networks is a hard constrained combinatorial optimization problem. It consists of deciding the number, type, and location of the active network elements (nodes), and the links. …”
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Fuzzy simulated evolution algorithm for topology design of campusnetworks
Published 2000“…The topology design of campus networks is a hard constrained combinatorial optimization problem. It consists of deciding the number, type, and location of the active network elements (nodes) and links. …”
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A new multiobjective evolutionary algorithm forenvironmental/economic power dispatch
Published 2001“…In this paper, a new multiobjective evolutionary algorithm for environmental/economic power dispatch (EED) optimization problem is presented. The EED problem is formulated as a nonlinear constrained multiobjective optimization problem with both equality and inequality constraints. …”
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Environmental/economic power dispatch using multiobjective evolutionary algorithms
Published 2003“…The EED problem is formulated as a nonlinear constrained multiobjective optimization problem. A new strength Pareto evolutionary algorithm (SPEA) based approach is proposed to handle the EED as a true multiobjective optimization problem with competing and noncommensurable objectives. …”
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