A simulated annealing algorithm for the capacitated vehicle routing problem by Azar, Danielle

“…In this paper, we present a meta-heuristic approach for solving the CVRP based on simulated annealing. The algorithm uses a combination of random and deterministic operators that are based on problem knowledge information. …”
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Design and Optimization of a Planar Cable Robot by Kassem, Mohamad Hassan

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An optimization approach for the computation of the minimumdestabilizing uncertainty volume by Al-Sunni, F.M.

“…We propose a nonlinear optimization based algorithm for the computation of the stability region for uncertain polynomials. …”
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Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller by Abualigah, Laith

“…Comparative analysis with various optimization algorithm-based controllers from the literature demonstrates the effectiveness of the proposed technique. …”
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Parallel scatter search algorithms for exam timetabling. (c2009) by Haidar, Ghia Abdullah Sleiman

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Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

Subjects:

Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

“…The method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and interconnects. The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …”
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

“…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
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Heuristics. (c2006) by Kallab, Chadi

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Intelligent Fusion of Deep Features for Improved Waste Classification by Kashif Ahmad (12592762)

Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance by Mohammed Hamidat (3722086)

“…In the first stage, a robust Sliding Mode Control (SMC)-based nonlinear decoupled control algorithm is designed to efficiently regulate BDFIG operation. …”

A new multiobjective evolutionary algorithm forenvironmental/economic power dispatch by Abido, A.A.

“…A new nondominated sorting genetic algorithm (NSGA) based approach is proposed to handle the problem as a true multiobjective optimization problem with competing and noncommensurable objectives. …”
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Best Polynomial Harmony Search with Best β-Hill Climbing Algorithm by Abu Doush, Iyad

“…HC and the second one is called Imp. PHS? HC. The two algorithms are evaluated using 13 global optimization classical benchmark function with various ranges and complexities. …”
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Dynamic performance evaluation and machine learning-assisted optimization of a solar-driven system integrated with PCM-based thermal energy storage: A case study approach by Haitham Osman (11737057)

“…<p>This paper presents the design, modeling, and multi-objective optimization of an advanced solar energy system based on concentrated solar power technology, aimed at sustainable electricity generation in urban environments. …”

A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems by Bilal Khurshid (16715865)

“…The ES algorithm begins with a random initial solution and uses an insertion mutation to optimize the solution. …”

A modified ant colony algorithm for evolutionary design of digital circuits by Sait, Sadiq M.

“…In this paper, a multiobjective optimization of logic circuits based on a modified ant colony (ACO) algorithm is presented. …”
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Evolutionary algorithms for state justification in sequential automatic test pattern generation by El-Maleh, Aiman H.

“…Evolutionary algorithms have been effective in solving many search and optimization problems. …”
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Chapter 19 - Metaheuristics for optimizing weights in neural networks by Abu Doush, Iyad

“…To avoid these problems, the process of the gradient-based mechanism is replaced by a recent metaheuristic swarm-based method called horse herd optimization algorithm (HOA). …”
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Hybrid Cooperative Co-evolution for Large Scale Optimization by El-Abd, Mohammed

“…In CC, multiple instances of the same evolutionary algorithm work in parallel, each optimizes a different subset of the problem in hand. …”
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Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms by Zhongqiang Ma (13765801)

“…The performance of all 15 of the algorithms is likely to deteriorate due to certain transformations, while the 4 state-of-the-art metaheuristics are less affected by transformations such as the shifting of the global optimal point away from the center of the search space. …”