Enhanced simulated evolution algorithm for digital circuit design yielding faster execution in a larger solution space by Sait, Sadiq M.

“…Evolutionary algorithms have been studied by several researchers for the design of digital circuits. …”
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Particle Swarm Optimization with Adaptive Bounds. IEEE Congress on Evolutionary Computation by El-Abd, Mohammed

“…Estimation of distributions algorithms (EDAs) are a class of evolutionary algorithms that build and maintain a probabilistic model capturing the search space characteristics and continuously use this model to generate new individuals. …”
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Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection by Atiq ur Rehman (3044409)

“…(ii) To support the global convergence of the algorithm and manage its computational complexity, a restricted group of the most effective agents is maintained within the evolutionary population. …”

An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

“…Evolutionary algorithms have been effective in solving many search and optimization problems. …”
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An evolutionary meta-heuristic for state justification insequential automatic test pattern generation by El-Maleh, A.H.

“…Evolutionary algorithms have been effective in solving many search and optimization problems. …”
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Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy by Haitao Xu (435549)

“…The complex gas hydrate prevention unit is simulated using the MLPNN model trained by 20 different optimization algorithms. This study investigates the gradient-based, evolutionary, and Bayesian-based optimization algorithms. …”

Assigning proctors to exams using scatter search. (c2006) by Zeidan, Moujab Moustapha

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Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition by Abboud, Ralph

“…Over the past years, several approaches have been developed to create algorithmic music composers. Most existing solutions focus on composing music that appears theoretically correct or interesting to the listener. …”
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Optimization metaheuristic for software testing by Mansour, Nashat

“…Our experimental results show that the proposed simultaneous-operation SA gives better results than an incremental SA version and significantly better than a greedy algorithm.…”
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Hybrid Cooperative Co-evolution for Large Scale Optimization by El-Abd, Mohammed

“…In CC, multiple instances of the same evolutionary algorithm work in parallel, each optimizes a different subset of the problem in hand. …”
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A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing by El-Abd, Mohammed

“…To handle these challenges, evolutionary and swarm optimisation algorithms can be robust and practical tools and show great potential to solve such complex problems. …”
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Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications by Hussie, Abdelazim

“…Moreover, several experiments were carried out to prove the powerfulness and effectivness of HHO compared with nine other state-of-art algorithms using Congress on Evolutionary Computation (CEC2005) and CEC2017. …”
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Cooperative Co-evolution using LSHADE with Restarts For The CEC15 Benchmarks by El-Abd, Mohammed

“…In this paper, we test the performance of an LSHADE Cooperative Co-evolutionary (CC) algorithm using the CEC15 benchmarks. …”
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Scatter search for homology modeling by Mansour, Nashat

“…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. SS is an evolutionary approach that is based on a population of candidate solutions. …”
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An Efficient and Energy Aware Routing Protocol for Underwater Wireless Sensor Network by Aravind, R.

“…In particular, the Energy-Aware Clustering Protocol for Underwater Sensor Networks (EAC-UWSN) is improved with help of evolutionary approaches. The proposed Evolutionary Density and Grid-based Clustering Algorithm (EDA-UWSN) is a two-step process of using grid and density-based to find out the dense cells and then to clusters them optimally. …”
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Scatter search metaheuristic for homology based protein structure prediction. (c2015) by Stamboulian, Mouses Hrag

“…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. Our algorithm optimizes the initial poor alignments, generated by a dynamic programming method. …”
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Designing Cellular Mobile Networks Using Non{Deterministic Iterative Heuristics by Sait, Sadiq M.

“…Hence, a randomized, heuristic algorithm, such as Simulated Evolution is used in this work to optimize the transmission costs in cellular networks. …”
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Digital circuit design through simulated evolution (SimE) by Sait, Sadiq M.

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HPTS: heterogeneous parallel tabu search for VLSI placement by Al-Yamani, A.

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An Iterative Heuristic for State Justi�cation in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

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