D
Duc-Hoc Tran
Researcher at Vietnam National University, Ho Chi Minh City
Publications - 34
Citations - 972
Duc-Hoc Tran is an academic researcher from Vietnam National University, Ho Chi Minh City. The author has contributed to research in topics: Differential evolution & Computer science. The author has an hindex of 15, co-authored 29 publications receiving 682 citations. Previous affiliations of Duc-Hoc Tran include Ho Chi Minh City University of Technology & National Taiwan University of Science and Technology.
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A novel Multiple Objective Symbiotic Organisms Search (MOSOS) for time-cost-labor utilization tradeoff problem
TL;DR: Numerical results demonstrate MOSOS approach is a powerful search and optimization technique in finding optimization of work shift schedules that is it can assist project managers in selecting appropriate plan for project.
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Optimizing Multiple-Resources Leveling in Multiple Projects Using Discrete Symbiotic Organisms Search
TL;DR: In this article, a discrete symbiotic organisms search (SOS) algorithm is proposed for optimizing multiple resources leveling in the multiple projects scheduling problem (DSOS-MRLMP) to reduce fluctuation in resource usage over the period of project implementation.
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Using a fuzzy clustering chaotic-based differential evolution with serial method to solve resource-constrained project scheduling problems
TL;DR: This study applies a serial method to reflect individual-user priorities into the active schedule and the project duration calculations to develop the Fuzzy Clustering Chaotic-based Differential Evolution algorithm, an innovative approach to solving complex optimization problems.
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Hybrid multiple objective artificial bee colony with differential evolution for the time–cost–quality tradeoff problem
TL;DR: The MOABCDE-TCQT, a new hybrid multiple objective evolutionary algorithm that is based on hybridization of artificial bee colony and differential evolution, is proposed to solve time–cost–quality tradeoff problems.
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Optimizing multi-mode time-cost-quality trade-off of construction project using opposition multiple objective difference evolution
TL;DR: This study is expected to provide an alternative solving methodology for the TCQT problem and help project manager plan construction methods with optimal time-cost-quality tradeoff and verify the efficiency and effectiveness of the proposed algorithm.