V
Vahid Beiranvand
Researcher at University of British Columbia
Publications - 7
Citations - 303
Vahid Beiranvand is an academic researcher from University of British Columbia. The author has contributed to research in topics: Flow network & Optimization problem. The author has an hindex of 4, co-authored 7 publications receiving 223 citations. Previous affiliations of Vahid Beiranvand include National University of Malaysia.
Papers
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Best practices for comparing optimization algorithms
TL;DR: This paper systematically review the benchmarking process of optimization algorithms, and provides suggestions for each step of the comparison process and highlights the pitfalls to avoid when evaluating the performance of optimized algorithms.
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Best practices for comparing optimization algorithms
TL;DR: In this article, the authors systematically review the benchmarking process of optimization algorithms and discuss the challenges of fair comparison, and provide suggestions for each step of the comparison process and highlight the pitfalls to avoid.
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Multi-objective PSO algorithm for mining numerical association rules without a priori discretization
TL;DR: The results show that MOPAR extracts reliable (with confidence values close to 95%), comprehensible, and interesting numerical ARs when attaining the optimal trade-off between confidence, comprehensibility and interestingness.
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Multi-Haul Quasi Network Flow Model for Vertical Alignment Optimization
TL;DR: A new model called multi-haul quasi network flow (MH-QNF) for vertical alignment optimization is presented with the goal of improving the accuracy and reliability of previous mixed integer linear programming models.
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Multi-haul quasi network flow model for vertical alignment optimization
TL;DR: In this article, the vertical alignment optimization problem for road design aims to generate a vertical alignment of a new road with a minimum cost, while satisfying safety and design constraints, and a new model is proposed.