A
Amir H. Alavi
Researcher at University of Pittsburgh
Publications - 219
Citations - 15536
Amir H. Alavi is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Genetic programming & Metaheuristic. The author has an hindex of 49, co-authored 202 publications receiving 11559 citations. Previous affiliations of Amir H. Alavi include Harvard University & Shahid Beheshti University.
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Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
TL;DR: The performance of the CS algorithm is further compared with various algorithms representative of the state of the art in the area and the optimal solutions obtained are mostly far better than the best solutions obtained by the existing methods.
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Krill herd: A new bio-inspired optimization algorithm
Amir H. Gandomi,Amir H. Alavi +1 more
TL;DR: The proposed KH algorithm, based on the simulation of the herding behavior of krill individuals, is capable of efficiently solving a wide range of benchmark optimization problems and outperforms the exciting algorithms.
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Mixed variable structural optimization using Firefly Algorithm
TL;DR: A recently developed metaheuristic optimization algorithm, the Firefly Algorithm, which mimics the social behavior of fireflies based on their flashing characteristics is used for solving mixed continuous/discrete structural optimization problems.
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Firefly algorithm with chaos
TL;DR: This study introduces chaos into FA so as to increase its global search mobility for robust global optimization and shows that some chaotic FAs can clearly outperform the standard FA.
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Machine learning in geosciences and remote sensing
TL;DR: The role of ML as an effective approach for solving problems in geosciences and remote sensing will be highlighted and unique features of some of the ML techniques will be outlined with a specific attention to genetic programming paradigm.