An evolutionary algorithm for solving the geometrically constrained site layout problem حسب Zouein, P.

"…The proposed algorithm is two-phases: an initialization phase that generates an initial population of layouts through a sequence of mutation operations, and a reproduction phase that evolve the layouts generated in phase one through a sequence of genetic operations aiming at finding an optimal layout. …"
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. Extensive simulations show that our model outperforms competitive methods by around 29% in terms of latency and around 23% in terms of transmission power improvements while delivering results comparable to the traditional LDTP optimization solution by around 9% in terms of latency.…"

Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems حسب 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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CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction حسب Khot, Mohammed Taha Shafiq

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

الموضوعات:

The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

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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... حسب 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. …"

Optimizing transparent photovoltaic integration with battery energy storage systems in greenhouse: a daily light integral-constrained economic analysis considering BESS degradation حسب Gholami, Mohammadreza

"…This study conducts a feasibility analysis of integrating Battery Energy Storage Systems (BESSs) with STPV systems in greenhouse agriculture, considering the Daily Light Integral (DLI) requirement for different crops as the primary constraint. Employing an enhanced Firefly Algorithm (FA) to optimize the PV cover ratio and BESS capacity, the analysis aims to maximize the Net Present Value (NPV) over a 25-year period, serving as the primary economic parameter. …"
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Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities حسب Zouein, P. P.

"…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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Natural optimization algorithms for optimal regression testing حسب Mansour, Nashat

"…The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …"
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Energy removal in dynamical systems through an optimal sequence of constraint application حسب 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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An evolutionary algorithm for network topology design حسب Youssef, H.

"…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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Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications حسب Daoud, Mohammad Sh.

الموضوعات: "…Gradient-Based Optimizer…"
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Exam scheduling algorithms. (c1999) حسب Mikati, Ziad

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Optimizing transparent photovoltaic integration with battery energy storage systems in greenhouse: a daily light integral-constrained economic analysis considering BESS degradation حسب Mohammadreza Gholami (17032317)

"…This study conducts a feasibility analysis of integrating Battery Energy Storage Systems (BESSs) with STPV systems in greenhouse agriculture, considering the Daily Light Integral (DLI) requirement for different crops as the primary constraint. Employing an enhanced Firefly Algorithm (FA) to optimize the PV cover ratio and BESS capacity, the analysis aims to maximize the Net Present Value (NPV) over a 25-year period, serving as the primary economic parameter. …"

The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm حسب Abu Doush, Iyad

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The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm حسب Abou Doush, Iyad

"…In evolutionary multi-objective optimization, an evolutionary algorithm is invoked to solve an optimization problem involving concurrent optimization of multiple objective functions. …"
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Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks حسب Abasi, Ammar

"…Coronavirus herd immunity optimizer (CHIO) is a recent metaheuristic human-based algorithm stemmed from the herd immunity mechanism as a way to treat the spread of the coronavirus pandemic. …"
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A multi-objective planning approach for optimal DG allocation for droop based microgrids حسب Shaaban, Mostafa

"…This paper proposes a multi-objective planning approach to determine the optimal DG locations for droop-based microgrids. 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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Brain Storm Optimization Algorithm حسب El-Abd, Mohammed

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