Revolutionizing sustainable supply chain management: A review of metaheuristics by Abualigah, Laith

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An Extreme Point Algorithm For A Local Minimum Solution To The Quadratic Assignment Problem by Fedjki, C.A.

“…Then an extreme point algorithm for QAP is proposed. (C) 2003 Elsevier B.V. …”
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An Extreme Point Algorithm For A Local Minimum Solution To The Quadratic Assignment Problem by Fedjki, C.A.

“…Then an extreme point algorithm for QAP is proposed.…”
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Performance Assessment of Foraging Algorithms vs. Evolutionary Algorithms by El-Abd, Mohammed

“…To the best of our knowledge, most of the work conducted so far using foraging algorithms has been tested on classical functions. This work provides the comparison using the well-known CEC05 benchmark functions based on the solution reached, the success rate, and the performance rate.…”
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data by Behrouz Ahadzadeh (19757022)

“…To overcome these challenges, a new FS algorithm named Uniform-solution-driven Binary Feature Selection (UniBFS) has been developed in this study. …”

Salp swarm algorithm: survey, analysis, and new applications by Abualigah, Laith

“…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …”
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Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation by Abualigah, Laith

“…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …”
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Incremental Genetic Algorithm by Mansour, Nashat

“…Classical Genetic Algorithms (CGA) are known to find good sub-optimal solutions for complex and intractable optimization problems. …”
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Topics in graph algorithms by Abu-Khzam, Faisal Nabih

“…Coping with computational intractability has inspired the development of a variety of algorithmic techniques. The main challenge has usually been the design of polynomial time algorithms for NP-complete problems in a way that guarantees some, often worst-case, satisfactory performance when compared to exact (optimal) solutions. …”
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Rigorous Phase Equilibrium Calculation Methods for Strong Electrolyte Solutions: The Isothermal Flash by Ilias K. Nikolaidis (9217172)

Smart transportation solutions for faster emergency medical services response using an enhanced whale optimization algorithm by Hina Gupta (21842246)

Enhanced simulated evolution algorithm for digital circuit design yielding faster execution in a larger solution space by Sait, Sadiq M.

“…Evolutionary algorithms have been studied by several researchers for the design of digital circuits. …”
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A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability by Debabrata Mazumdar (18560506)

Incremental & classical genetic algorithm. (c2001) by Awad, Mohamad M.

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Logistics Optimization Using Hybrid Genetic Algorithm (HGA): A Solution to the Vehicle Routing Problem With Time Windows (VRPTW) by Ayesha Maroof (17984053)

“…This research introduces a cutting-edge Hybrid Genetic Algorithm-Solomon Insertion Heuristic (HGA-SIH) solution, reinforced by the powerful Solomon Insertion constructive heuristic to solve the VRPTW as an NP-hard problem. …”

An algorithm for solving bond pricing problem by Dibeh, Ghassan

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Bee Colony Algorithm for Proctors Assignment. by Mansour, Nashat

“…This problem is intractable, and hence, heuristics algorithms are needed to find good solutions. In this paper, we propose a new solution for the proctor assignment problem based on the Bee Colony meta-heuristic algorithm. …”
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Parallel metaheuristic algorithm for exam timetabling by Mansour, Nashat

“…Exam timetabling is a computationally intractable problem, which requires heuristic techniques for producing good sub-optimal solutions within reasonable execution time. For large numbers of exams and students, sequential algorithms are likely to be time consuming. …”
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Scalable Parallel Algorithms for FPT Problems by Abu-Khzam, Faisal N.

“…Algorithmic methods based on the theory of fixed-parameter tractability are combined with powerful computational platforms to launch systematic attacks on combinatorial problems of significance. …”
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Improvement Algorithm for Limited Space Scheduling by Zouein, Pierrette

“…An example illustrates the presented algorithm that generates a feasible space schedule.…”
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