M
Maziar Yazdani
Researcher at University of New South Wales
Publications - 38
Citations - 1447
Maziar Yazdani is an academic researcher from University of New South Wales. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 11, co-authored 18 publications receiving 579 citations. Previous affiliations of Maziar Yazdani include University College of Engineering & University of Tehran.
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Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm
Maziar Yazdani,Fariborz Jolai +1 more
TL;DR: A new population based algorithm, the Lion Optimization Algorithm (LOA), is introduced, special lifestyle of lions and their cooperation characteristics has been the basic motivation for development of this optimization algorithm.
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Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia
Maziar Yazdani,Kamyar Kabirifar,Boadu Elijah Frimpong,Mahdi Shariati,Mirpouya Mirmozaffari,Azam Boskabadi +5 more
TL;DR: This research proposes a novel simheuristic based on an integrated simulation-optimization approach, in which an efficient hybrid Genetic Algorithm is applied in order to optimize vehicle route planning for C&D waste collection from construction projects to recycling facilities.
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Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite
Amir Ali Shahmansouri,Maziar Yazdani,Saeed Ghanbari,Habib Akbarzadeh Bengar,Abouzar Jafari,Hamid Farrokh Ghatte +5 more
TL;DR: In this paper, an Artificial Neural Network (ANN) was proposed to predict the compressive strength of pozzolanic GPC based on ground granulated blast-furnace slag.
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Optimizing the sum of maximum earliness and tardiness of the job shop scheduling problem
TL;DR: A new approximate optimization approach is developed, which is based on the imperialist competitive algorithm hybridized with an efficient neighborhood search, and the effectiveness of the proposed approach is demonstrated through an experimental evaluation.
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Capacity planning and reconfiguration for disaster-resilient health infrastructure
TL;DR: In this article, a public hospital complex in Tehran, Iran has been considered as a real case for resource allocation at the time of a devastating disaster so that it can encounter the sudden surge of injured people.