Social spider optimization algorithm: survey and new applications حسب Abualigah, Laith

"…One of the PSO algorithms or versions is the social spider optimization (SSO) algorithm, a simulation of the interaction between spider groups, males and females. …"
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Efficient methods and techniques for the open-shop scheduling problem. (c2006) حسب Bou Ghosn, Steve

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Timing driven genetic algorithm for standard-cell placement حسب Sait, Sadiq M.

"…In this paper we present a timing-driven placer for standard-cell IC design. The placement algorithm follows the genetic paradigm. At early generations, the search is biased toward solutions with superior timing characteristics. …"
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Machine vision algorithm for MCQ automatic grading – MVAAG حسب Rababaah, Aaron Rasheed

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A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

"…In the proposed algorithm, coding the solution of the unit commitment problem is based on mixing binary and decimal representations. …"
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Distributed dimension reduction algorithms for widely dispersed data حسب Abu-Khzam, F.N.

"…A series of experiments is conducted to gauge how the algorithm’s emphasis on minimal data transmission affects solution quality. …"
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Three-phase simulated annealing algorithms for exam scheduling حسب Mansour, Nashat

"…We decompose the problem into three phases and propose simulated annealing algorithms for these phases. Hence, we refer to our solution methods as 3-phase simulated annealing (3PSA). …"
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Algorithmic Study of Online Multi-Facility Location Problems حسب Markarian, Christine

"…The latter is a worst-case analysis that compares the cost of the online algorithm to that of the optimal offline algorithm that is assumed to know all demands in advance. …"
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Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT) حسب AlHamaydeh, Mohammad

"…The powerful genetic algorithm optimization technique is augmented with an innovative “domain-trimming” modification. …"
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An Algorithm For Computing The Distance Between Two Circular Disks حسب Almohamad, H.A.

"…For the case where the points are at the circumferences, the problem has no analytical solutions [IBM J. Res. Develop. 34 (5) (1990)]. Instead, we propose for the latter case an iterative algorithm based on computing the distance between a fixed point and a circle. …"
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Allocating data to distributed-memory multiprocessors by genetic algorithms حسب Mansour, Nashat

"…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …"
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A hybrid genetic algorithm for task allocation in multicomputers حسب Mansour, Nashat

"…A hybrid genetic algorithm for the task allocation problem (HGATA) in multicomputers is presented. …"
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A genetic algorithm approach for regrouping service sites حسب Mansour, Nashat

"…We propose a two-phase method, based on a weighted-graph problem formulation, for providing good suboptimal solutions. In the first phase, the graph is decomposed into the required number of subgraphs (regions) using a tuned hybrid genetic algorithm. …"
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Minimizing using BBO and DFO methods حسب El Zeghondy, Jean

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A parallel optimization algorithm for the maximum clique problem. (c2008) حسب Rizk, Mohamad A.

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A portable message passing distributed library for optimizing combinatorial problems with application to circuits testing. (c2007) حسب Maamoun, Ahmad

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Multiclass feature selection with metaheuristic optimization algorithms: a review حسب Abu Zitar, Raed

"…Metaheuristic algorithms have also been presented in four primary behavior-based categories, i.e., evolutionary-based, swarm-intelligence-based, physics-based, and human-based, even though some literature works presented more categorization. …"
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Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines حسب Saleh, Ayat

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The effect of different stopping criteria on multi-objective optimization algorithms حسب Abu Doush, Iyad

"…Evolutionary multi-objective optimization (EMO) refers to the domain in which an evolutionary algorithm is applied to tackle an optimization problem with multiple objective functions. …"
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The effect of different stopping criteria on multi-objective optimization algorithms حسب El-Abd, Mohammed

"…Evolutionary multi-objective optimization (EMO) refers to the domain in which an evolutionary algorithm is applied to tackle an optimization problem with multiple objective functions. …"
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