Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems by Agushaka, Jeffrey O.

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A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems by Wali Khan Mashwani (14590504)

“…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. …”

Whale optimization algorithm: analysis and full survey by Abualigah, Laith

“…The whale optimization algorithm (WOA) is a metaheuristic algorithm inspired by the hunting behavior of humpback whales. …”
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Squirrel Search Algorithm for Portfolio Optimization by Dhaini, Mahdi

“…However, the successes of nature-inspired algorithms in hard computational optimization problems have encouraged researchers to design and apply these algorithms for a variety of optimization problems. …”
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Recent Advances of Chimp Optimization Algorithm: Variants and Applications by Daoud, Mohammad Sh.

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GIJA:Enhanced geyser‐inspired Jaya algorithm for task scheduling optimization in cloud computing by Abualigah, Laith

“…In this article, we introduce GIJA (Geyser‐inspired Jaya Algorithm), a novel optimization approach tailored for task scheduling in cloud computing environments. …”
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A Recent Advances of Bat-inspired Algorithm by Abou Doush, Iyad

“…Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in many problem domains. …”
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On the Optimization of Band Gaps in Periodic Waveguides by Jamil Renno (14070771)

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

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Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms by Zhongqiang Ma (13765801)

“…Generally, the inventors attribute the novelties of these new algorithms to inspirations from either biology, human behaviors, physics, or other phenomena. …”

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

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Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective by Mir, Imran

“…This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space Exploration. …”
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Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities by 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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Arithmetic optimization algorithm: a review and analysis by Abualigah, Laith

“…As a result, it can perform diverse optimization tasks in different search spaces. This article reviews the behaviors of mathematics operations that inspire the main features of AOA, which is a metaheuristic algorithm. …”
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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 by Mohammadreza Gholami (17032317)

Power-constrained system-on-a-chip test scheduling using a genetic algorithm by Harmanani, Haidar M.

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Hybrid Bio-Inspired Routing Algorithms for Scalable and Adaptive Wireless Ad Hoc Networks by Santhosh Kumar, C.

“…Largescale simulations in different conditions with research variability in terms of node mobility, scale and density-prove that the presented algorithm is more robust than standard bio-inspired protocol and standalone bio-inspired protocols. …”
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Artificial neural network algorithms. (c1999) by Ramadan, Samer N.

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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators by Abu Zitar, Raed

“…In MGWO, new optimization operators inspired by the TRIZ-inventive solution are coupled with the original GWO to increase the diversity of the population. …”
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An Energy Efficient Wireless Sensor Network for Optimal Routing using Hybridized Bio-Inspired Technique by Askarovich, Ulashev Hubbim

“…While clustering techniques, such as Low Energy Adaptive Clustering Hierarchy (LEACH), help reduce energy usage, they suffer from inefficient local searches and poor exploration-exploitation balance.To address these limitations, this study proposes a hybrid bio-inspired optimization technique—Modified Harmony Search Algorithm (MHSA) combined with Competitive Swarm Optimization (CSO)—for optimal cluster head (CH) selection. …”
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