V
Vahid Hajipour
Researcher at Islamic Azad University
Publications - 46
Citations - 1016
Vahid Hajipour is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Simulated annealing & Genetic algorithm. The author has an hindex of 16, co-authored 42 publications receiving 779 citations. Previous affiliations of Vahid Hajipour include Sharif University of Technology & Bu-Ali Sina University.
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A soft-computing Pareto-based meta-heuristic algorithm for a multi-objective multi-server facility location problem
TL;DR: A Pareto-based meta-heuristic algorithm called multi-objective harmony search (MOHS) is proposed, in which facilities behave as M/M/m queues within multi-server queuing framework, which shows that the proposed MOHS outperforms the other two algorithms in terms of computational time.
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Optimizing multi-item multi-period inventory control system with discounted cash flow and inflation: Two calibrated meta-heuristic algorithms
TL;DR: A mixed binary integer mathematical programming model is developed in this paper for ordering items in multi-item multi-period inventory control systems, in which unit and incremental quantity discounts as well as interest and inflation factors are considered.
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A multi-objective facility location model with batch arrivals: two parameter-tuned meta-heuristic algorithms
TL;DR: A new multi-objective facility-location problem within the batch arrival queuing framework is proposed and two meta-heuristic algorithms, namely genetic algorithm (GA) and simulated annealing (SA) are proposed to solve the model.
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IoT-based enterprise resource planning: Challenges, open issues, applications, architecture, and future research directions
TL;DR: The results show sensors and devices connected to the Internet can manage the stored data processed in the cloud through ERP without human intervention.
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A knowledge-based archive multi-objective simulated annealing algorithm to optimize series-parallel system with choice of redundancy strategies
TL;DR: An efficient multi-objective meta-heuristic algorithm based on simulated annealing (SA) is presented to solve multi- objective RAP (MORAP) and demonstrates the performance of the proposed algorithm for solving MORAP.