A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text by M. Ghoniem , Rania

“…The operator of the G-WOA is a hybrid operator integrating GA’s mutation, crossover, and selection processes with the WOA’s processes (encircling prey, attacking of bubble-net, and searching for prey) to fulfill the balance between both exploitation and exploration, and to find the solutions that exhibit the highest fitness. For evaluating the performance of the ontology learning approach, extensive comparisons are conducted using different Arabic corpora and bio-inspired optimization algorithms. …”
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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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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

“…The slime mould algorithm (SMA) gives good results in finding the best solutions to optimization problems. …”
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Fuzzified iterative algorithms for performance driven low powerVLSI placement by Sait, Sadiq M.

“…In this paper we employ fuzzified simulated evolution and stochastic evolution algorithms for VLSI. standard cell placement targeting low power dissipation and high performance. …”
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Best Polynomial Harmony Search with Best β-Hill Climbing Algorithm by Abu Doush, Iyad

“…Finally, the two proposed algorithms are compared with four variations of differential evolution (DE). …”
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Evolutionary algorithms, simulated annealing and tabu search: a comparative study by Youssef, H.

“…In this paper we perform a comparative study among GA, SA, and TS. These algorithms have many similarities, but they also possess distinctive features, mainly in their strategies for searching the solution state space. …”
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CCSA: Cellular Crow Search Algorithm with topological neighborhood shapes for optimization by Abou Doush, Iyad

“…In evolutionary computation, systematically structuring the population is used to manage the evolution process. Thus controlling the amount of diversity during the algorithm search. …”
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A distributed genetic algorithm for deterministic and stochastic labor scheduling problems by Mansour, Nashat

“…In plots of solution quality versus CPU time for the various algorithms evaluated in our study, DGA consistently appeared on the efficient frontier.…”
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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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A parallel tabu search algorithm for VLSI standard-cell placement by Suit, S.M.

“…The objective of the algorithm is to achieve the best possible solution in terms of interconnection length, overall area of the circuit, and critical path delay (circuit speed). …”
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Multiobjective Optimal VAR Dispatch Using Strength Pareto Evolutionary Algorithm by Abido, M.A.

“…In this paper, strength Pareto evolutionary algorithm (SPEA) for optimal reactive power (VAR) dispatch problem is presented. …”
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Robust design of multimachine power system stabilisers using tabusearch algorithm by Abido, M.A.

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Efficient convex-elastic net algorithm to solve the Euclideantraveling salesman problem by Al-Mulhem, M.

“…Experimental results are given to show that the proposed algorithm ran find the nearly optimal solution for the E-TSP that outperform many similar algorithms reported in the literature. …”
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Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem by Mantawy, A.H.

“…A new implementation of the genetic algorithm is introduced. The genetic algorithm solution is coded as a mix between binary and decimal representation. …”
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A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms by Zaidi, Ali Mustafa

“…It is widely recognized that security issues will play a crucial role in the majority of future computer and communication systems. Cryptographic algorithms are the central tools for achieving system security. …”
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A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems by Wali Khan Mashwani (14590504)

“…These SI-based algorithms follow the social and interactive principles to perform their search process while approximating solution for the given problems. …”

Parallelization of Stochastic Evolution by Khan, Khawar

“…In this work, the development of parallel algorithms for Stochastic Evolution, applied on multi-objective VLSI cell-placement problem is presented. …”
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Parallelization of Stochastic Evolution by Khan, Khawar

“…In this work, the development of parallel algorithms for Stochastic Evolution, applied on multi-objective VLSI cell-placement problem is presented. …”
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A new simulated annealing-based tabu search algorithm for unitcommitment by Mantawy, A.H.

“…The algorithm includes a step to find an initial control parameter, at which virtually all trial solutions are accepted. …”
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A new multiobjective evolutionary algorithm forenvironmental/economic power dispatch by Abido, A.A.

“…In this paper, a new multiobjective evolutionary algorithm for environmental/economic power dispatch (EED) optimization problem is presented. …”
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