Fuzzified ant colony optimization algorithm for efficient combinational circuits synthesis by Sarif, B.A.B.

“…Multiobjective optimization of logic circuits based on a fuzzified ant colony (ACO) algorithm is presented. …”
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Efficient Voltage Regulation: An RW-ARO Optimized Cascaded Controller Approach by Eker, Erdal

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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing by Al Sadawi, Alia

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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain by Al Sadawi, Alia

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Electrical efficiency of the photovoltaic/thermal collectors cooled by nanofluids: Machine learning simulation and optimization by evolutionary algorithm by Yan Cao (482880)

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

“…This chapter offers the sea salmon-associated polyp (SALP) swarm algorithm (SSA) and multipurpose SSA (MSSA) as new optimization algorithms for solving optimization problems with single and multiple objectives. …”
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Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment by Sachi Gupta (19560268)

Teaching–learning-based optimization algorithm: analysis study and its application by Abualigah, Laith

“…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …”
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Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storage by Mohammadreza Gholami (17032317)

“…Utilizing a Firefly Algorithm (FA) for optimization, the study determines the optimized BESS capacity for minimum total cost. …”

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. …”

Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing by Abualigah, Laith

“…In this paper, we propose an enhanced optimization algorithm tailored for task scheduling in cloud environments. …”
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Spider monkey optimizations: application review and results by Abualigah, Laith

“…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …”
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Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization by Abu Zitar, Raed

“…An efficient optimization method is needed to address complicated problems and find optimal solutions. …”
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Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning by Zulfiqar Ali (117651)

“…However, Long Range Wide Area Network (LoRaWAN) is the most suitable and attractive technology in terms of delay optimization, low cost and efficient energy consumption. …”

An Efficient Tabu Search Algorithm For The Single-Machine Mean Tardiness Problem by Bendaya, M.

“…In this paper, an efficient tabu search algorithm is prepared ibr solving the singlemachine mean tardiness problem. …”
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Efficient convex-elastic net algorithm to solve the Euclideantraveling salesman problem by Al-Mulhem, M.

“…These two algorithms are combined into the efficient convex-elastic net (ECEN) algorithm. …”
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Optimizing Energy Consumption In Cloud Datacenters by Khan, Mueez Ahmad

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Physical optimization algorithms for mapping data to distributed-memory multiprocessors by Mansour, Nashat

“…It allows large-scale mapping to become efficient, especially when the physical optimization algorithms are used.…”
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A Survey of cuckoo search algorithm: optimizer and new applications by Abualigah, Laith

“…Cuckoo search (CS) is an efficient swarm intelligence-based algorithm that has come a long way since its start in 2009. …”
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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011) by Kozhaya, David Elias

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