Scheduling IoT Requests to Minimize Latency in Fog Computing حسب Alikarar, Mazin Abdelbadea Nasralla

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Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) حسب Kawash, Jalal Y.

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Minimizing using BBO and DFO methods حسب El Zeghondy, Jean

"…In [1], Nour and Zeidan proposed a numerical algorithm to solve optimal control problems involving sweeping processes. …"
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Salp swarm algorithm: survey, analysis, and new applications حسب 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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Recent Advances of Chimp Optimization Algorithm: Variants and Applications حسب Daoud, Mohammad Sh.

"…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
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Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment حسب Omer, Dalia Fatahelrahman

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A new reactive power optimization algorithm حسب Mantawy, A.H.

"…This paper presents an algorithm for optimizing reactive power using particle swarm algorithm. …"
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Development of an Optimization Algorithm for Internet Data Traffic حسب Misbahuddin, Syed

"…In this paper, an optimization algorithm is proposed to reduce net data traffic, which works at Internet layer in the TCP/IP reference model. …"
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An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications حسب Abu Zitar, Raed

"…Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. …"
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms حسب Ghulam Mustafa (458105)

"…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"

Simulation and optimization of ant colony optimization algorithm for the stochastic uncapacitated location-allocation problem حسب El Khoury, John

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A deterministic heuristic algorithm for optimal multiprocessor scheduling. (c1995) حسب Moujabber, Bassam N.

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An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure حسب Fahmy, Ahmed

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Optimizing Energy Consumption In Cloud Datacenters حسب Khan, Mueez Ahmad

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Natural optimization algorithms for the cross-dock door assignment problem حسب Tarhini, Abbas A.

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Optimal selection of the forgetting matrix into an iterative learning control algorithm حسب Saab, Samer S.

"…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the optimal forgetting matrix and the learning gain matrix of a P-type iterative learning control (ILC) for linear discrete-time varying systems with arbitrary relative degree. …"
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Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm حسب Abido, M. A.

"…In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. …"
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Multiobjective optimal power flow using strength Pareto evolutionary algorithm حسب Abido, M.A.

"…In this paper, a novel multiobjective evolutionary algorithm for optimal power flow (OPF) problem is presented. …"
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An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…We use an ant colony optimization algorithm in the adaptation process. The approach is validated on stability of classes in object-oriented software systems and can easily be used for any other software quality characteristic. …"
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A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems حسب Wali Khan Mashwani (14590504)

"…All these developed algorithms have some merits and also demerits. Particle swarm optimization (PSO), firefly algorithm, ant colony optimization (ACO), and bat algorithm (BA) have gained much popularity and they have successfully tackled various test suites of benchmark functions and real-world problems. …"