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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New enumeration algorithm for regular boolean functions by Nasrallah, Walid F.

“…This paper introduces a new algorithm for enumerating regular Boolean functions. …”
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A new reactive power optimization algorithm by Mantawy, A.H.

“…A new implementation for the particle swarm algorithm has been applied. …”
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A new genetic algorithm approach for unit commitment by Mantawy, A.H.

“…This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. …”
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A New Penalty Function Algorithm For Convex Quadratic Programming by Bendaya, M.

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A new tabu search algorithm for the long-term hydro scheduling problem by Mantawy, A.H.

“…A new efficient algorithm to solve the long-term hydro scheduling problem (LTHSP) is presented in this paper. …”
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A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem by Mantawy, A. H.

“…This paper presents a new algorithm based on integrating the use of genetic algorithms and tabu search methods to solve the unit commitment problem. …”
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Iterative Least Squares Functional Networks Classifier by Faisal, Kanaan A

“…The study was achieved with only sets of second-order linearly independent polynomial functions to approximate the neuron functions. The results show that this new framework classifier is reliable, flexible, stable, and achieves a high-quality performance. …”
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Stochastic evolution algorithm for technology mapping by Al-Mulhem, A.S.

“…SELF-Map is based on the Stochastic Evolution (SE) algorithm. The state space model of the problem is defined and suitable cost function which allows optimization for area, delay, or area-delay combinations is proposed. …”
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A new multimodulus blind equalization algorithm by Abrar, Shafayat

“…A new algorithm is presented for the blind equalization of complex signals. …”
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Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach by Sarif, Bambang

“…The results obtained show that the introduced algorithm outperforms the deterministic technique based on the direct cover approach [3] in terms of the average number of product terms required to realize a given MVL function.…”
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New fault models and efficient BIST algorithms for dual-portmemories by Amin, A.A.

“…In addition to the classical static neighborhood pattern-sensitive faults, the array test algorithm covers a new class of pattern sensitive faults, duplex dynamic neighborhood pattern-sensitive faults (DDNPSF)…”
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Economic load dispatch using memetic sine cosine algorithm by Abu Zitar, Raed

“…In a nutshell, hybridizing βHC optimizer as a new operator for SCA is very powerful algorithm for tackling ELD problems.…”
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Metaheuristic algorithm for testing web 2.0 applications. (c2012) by Zeitunlian, Hratch Michel

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Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem by Mantawy, A.H.

“…This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulated annealing methods to solve the unit commitment problem. …”
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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem by Abu Zitar, Raed

“…In particular, a new modified method based on the Arithmetic Optimization Algorithm is proposed. …”
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Efficient heuristic algorithms for influence propagation in social networks. (c2018) by Lamaa, Karine H.

“…Then we introduce the notion of an influence propagation function and use it to design an efficient algorithm across all types of networks. …”
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Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms by Zhongqiang Ma (13765801)

“…In addition, these new algorithms, compared against basic versions of other metaheuristics using classical benchmark problems, show competitive performances. …”

New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications by Mohieddine Benammar (18103039)

“…This paper presents a novel technique that combines the advantages of both rational formulae and LUT approximation methods. The new algorithm exploits the pseudo-linear region around the tangent function zero point to estimate a reduced input arctangent through a modified rational approximation before referring this estimate to its original value using miniature LUTs. …”

Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems by Abualigah, Laith

“…In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. …”
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