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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Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning by Sait, Sadiq M.

“…These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …”
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Bee Colony Algorithm for Proctors Assignment. by Mansour, Nashat

“…The algorithm performs a neighborhood search combined with a random search to balance exploration and exploitation. …”
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Evolutionary algorithms for VLSI multi-objective netlist partitioning by Sait, Sadiq M.

“…These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …”
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Fuzzy simulated evolution algorithm for VLSI cell placement by Sait, Sadiq M.

“…There has not been a consensus on how to accommodate all these (conflicting) requirements in the search for near optimal feasible solutions. In this paper, we present a fuzzy simulated evolution (FSE) algorithm to tackle this problem. …”
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A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS by Youssef, H.

“…To intensify the search, we have also incorporated Tabu Search-based characteristics in the allocation phase of the SE algorithm. …”
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Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

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Metaheuristic algorithm for testing web 2.0 applications. (c2012) by Zeitunlian, Hratch Michel

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A Cooperative Co-evolutionary LSHADE Algorithm for Large-Scale Global Optimization by El-Abd, Mohammed

“…In this paper, we propose the application of a Cooperative Co-evolutionary LSHADE (CCLSHADE) algorithm for Large-Scale Global Optimization (LSGO). …”
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Shape and sizing optimisation of space truss structures using a new cooperative coevolutionary-based algorithm by Dehkordi, Amin Abdollahi

“…This paper proposed a novel Cooperative Coevolutionary marine predators algorithm combined with a greedy search (CCMPA-GS) for truss optimisation on shape and sizing. …”
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An Ultrafast Maximum Power Point Setting Scheme for Photovoltaic Arrays Using Model Parameter Identification by Zhaohui Cen (17217391)

“…Unfortunately, conventional MPPT algorithms such as perturb and observe (P&O), incremental conductance, and current sweep method need to iterate command current or voltage and frequently operate power converters with associated losses. …”

Simulated evolution for timing and low power VLSI standard cell placement by Sait, Sadiq M.

“…Approximation iterative heuristics such as Simulated Evolution are best suited to perform an intelligent search of the solution space. …”
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Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement by Sait, Sadiq M.

“…In this work, a fast hybrid algorithm is designed to address this problem. The algorithm employs simulated evolution (SE), an iterative search heuristic that comprises three steps: evaluation, selection and allocation. …”
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Fuzzy simulated evolution for power and performance optimization ofVLSI placement by Sait, Sadiq M.

“…Approximation iterative heuristics such as simulated evolution (SE) are best suited to perform an intelligent search of the solution space. …”
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FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT by Sait, Sadiq M.

“…SE is hybridized with force directed algorithm to speed-up the search. The proposed schemes are compared with previously presented SE based heuristics. …”
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Swarm and Evolutionary Computation by El-Abd, Mohammed

“…Then the harmony search algorithm iterates to look for and to develop a new solution enhanced by using neighboring heuristics. …”
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Parallelization of Stochastic Evolution by Khan, Khawar

“…Among the acceleration techniques proposed, parallelization of iterative heuristics is a promising one. The motivation for Parallel CAD include faster runtimes, handling of larger problem sizes, and exploration of larger search space. …”
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Parallelization of Stochastic Evolution by Khan, Khawar

“…Among the acceleration techniques proposed, parallelization of iterative heuristics is a promising one. The motivation for Parallel CAD include faster runtimes, handling of larger problem sizes, and exploration of larger search space. …”
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EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING by Sait, Sadiq M.

“…These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) [sadiq et al., 1999] respectively. …”
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Implementation of trust region methods in optimization. (c1998) by Hajj, Mohammed Omar

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