A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008) by Korkmaz, Rita

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A Scatter search algorithm for exam scheduling. (c2006) by Isahakian, Vatche Raffi

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On Indefinite Quadratic Optimization over the Intersection of Balls and Linear Constraints by Temadher A. Almaadeed (14151288)

“…<p>In this paper, we study the minimization of an indefinite quadratic function over the intersection of balls and linear inequality constraints (QOBL). Using the hyperplanes induced by the intersection of each pair of balls, we show that the optimal solution of QOBL can be found by solving several extended trust-region subproblems (e-TRS). …”

A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm by Abu Zitar, Raed

“…In this paper, the economic load dispatch (ELD) problem with valve point effect is tackled using a hybridization between salp swarm algorithm (SSA) as a population-based algorithm and β-hill climbing optimizer as a single point-based algorithm. …”
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Teaching–learning-based optimization algorithm: analysis study and its application by Abualigah, Laith

Subjects: “…Teaching–learning-based optimization algorithm…”
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Economic load dispatch using memetic sine cosine algorithm by Abu Zitar, Raed

“…SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. …”
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A Simulated Annealing Algorithm for System-on-Chip Test Scheduling with, Power and Precedence Constraints by Harmanani, Haidar M.

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Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach by Debabrata Mazumdar (18560506)

“…Furthermore, an exhaustive comparative analysis has been presented among particle swarm optimization (PSO), cuckoo search algorithm (CUSA), and grey wolf optimization (GWO) under different operating environments to endorse the supremacy of the nominated technique. …”

Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link by Bayan Hussein (16904856)

“…An optimization problem is formulated with data rate and BER in the cost function while maintaining energy and power constraints. …”

Cuckoo search for portfolio optimization. (c2014) by Medawar, Mohammad Kamal El

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An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling by ALKETBI, SAIF

“…The results showed the proposed methodology outperformed existing algorithms in optimizing project durations and resources allocation. …”
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Application of Red Deer Algorithm in Optimizing Complex functions by Zitar, Raed

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Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System by Abualigah, Laith

“…This study proposes a novel approach for designing a fractional order proportional-integral-derivative (FOPID) controller that utilizes a modified elite opposition-based artificial hummingbird algorithm (m-AHA) for optimal parameter tuning. …”
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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems by Abualigah, Laith

“…The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). …”
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Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inv... by Atif Iqbal (5504636)

“…Different standard multicarrier sinusoidal pulse-width modulation techniques (SPWMs) are adapted for the generation of switching gate signals for the PUC power switches, and these SPWMs are compared with novel optimization-based selective harmonic elimination (SHE) that employs genetic algorithm (GA) for solving nonlinear SHE equation with a constraint that eliminated all third-order harmonics efficiently. …”

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

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Energy removal in dynamical systems through an optimal sequence of constraint application by Issa, Jimmy

“…In this paper several optimization formulations are suggested, whereby maximum energy removal is achieved by selecting optimal strategies that identify where and when the constraints should be applied. …”
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The buffered work-pool approach for search-tree based optimization algorithms by Abu-Khzam, Faisal N.

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Natural optimization algorithms for optimal regression testing by Mansour, Nashat

“…The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …”
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Elk herd optimizer by Al-Betar, Mohammed Azmi

“…This paper proposes a novel nature-inspired swarm-based optimization algorithm called elk herd optimizer (EHO). …”
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