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Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems
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A new family of multi-step quasi-Newton algorithms for unconstrained optimization
Published 1999“…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …”
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A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
Published 2021“…The test suite of benchmark function is recently designed for the special session of EAs competition in IEEE Congress on Evolutionary Computation (IEEE-CEC′13). The suggested algorithm has approximated promising solutions with good convergence and diversity maintenance for most of the used bound constrained single optimization problems. …”
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A family of minimum curvature variable-methods for unconstrained optimization. (c1998)
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A new minimum curvator multi-step method for unconstrained optimization
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An evolutionary algorithm for solving the geometrically constrained site layout problem
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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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A stochastic iterative learning control algorithm with application to an induction motor
Published 2004“…The convergence characteristics are shown to be similar to the ones of the optimal recursive algorithm. The proposed ILC algorithms are applied to two different models of an induction motor for angular speed tracking control. …”
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Whale optimization algorithm: analysis and full survey
Published 2024“…Various adaptations and hybridizations of the WOA are reviewed, including adaptive strategies, constrained and multiobjective optimization extensions, and combinations with other algorithms. …”
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Squirrel Search Algorithm for Portfolio Optimization
Published 2019“…In this paper, we design and adapt a Squirrel Search Algorithm (SSA) for the unconstrained and constrained portfolio optimization problems. …”
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A simulated annealing-based optimal controller for a three phase induction motor
Published 2002“…This paper presents a new approach for optimal controller design of a three-phase induction motor (IM), based on using the simulated annealing (SA) method to find the optimal controller gains that satisfy a specific performance criterion. …”
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Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses
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Holistic Design: Optimizing Mechatronic Systems Using Multi Objective Optimization
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Four quadrant robust quick response optimally efficient inverterfed induction motor drive
Published 1989“…A new approach for controlling the speed of an inverter-fed induction motor which operates with variable flux for high-efficiency purposes is presented. …”
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Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT)
Published 2017“…The powerful genetic algorithm optimization technique is augmented with an innovative “domain-trimming” modification. …”
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ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation
Published 2022“…For that reason, this work is focused on the theoretical studies and experimental validation on dSPACE Board DS1104 of the new proposed approach based on PID speed regulation, optimized by the Ant Colony Optimization algorithm (ACO) for DTC, applied to both sides of the Doubly Fed Induction Motor (DFIM), to overcome the previous drawbacks cited at the beginning. …”
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Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm
Published 2005“…In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. …”
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