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One of the first, and perhaps most popular, meta search engines in the mid-to-late 1990s was HotBot (Wall 2011).
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So did Kayak.com, the popular meta-search site.
Further, superiority of the proposed algorithm is demonstrated by comparing with four popular meta-heuristic algorithms.
Based on Glover and Kochenberger (2003), SA is a popular meta-heuristic algorithm that needs only one initial feasible solution.
Then, the chaotic GWO is compared with the traditional GWO and some other popular meta-heuristics viz.
The basics of the most popular meta-heuristic algorithms are presented as background to the search-based viewpoint.
However, the most popular meta-models for computational computer models do not explicitly allow for categorical input variables.
Popular meta-heuristic algorithms including genetic algorithm and particle swarm optimization (PSO) have shown to have drawbacks when the solution to be found is multimodal.
Two popular meta-heuristic algorithms are considered to develop a new elevated hybrid algorithm: the genetic algorithm (GA) and particle swarm optimization (PSO).
The experimental results indicate that the CGGSA has shown excellent optimization ability compared with some popular meta-heuristics on benchmark functions.
The MS-GSA has been verified by comparing with 7 popular meta-heuristics algorithms on 23 typical basic benchmark functions and 7 compositeomposite benchmark functions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com