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Hybrid multiple objective artificial bee colony with differential evolution for the time-cost-quality tradeoff problem.

, , and . Knowl. Based Syst., (2015)

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Integrating a novel multiple-objective FBI with BIM to determine tradeoff among resources in project scheduling., , and . Knowl. Based Syst., (2022)Hybrid multiple objective artificial bee colony with differential evolution for the time-cost-quality tradeoff problem., , and . Knowl. Based Syst., (2015)Optimizing Multiple-Resources Leveling in Multiple Projects Using Discrete Symbiotic Organisms Search., , and . J. Comput. Civ. Eng., (2016)Two-Phase Differential Evolution for the Multiobjective Optimization of Time-Cost Tradeoffs in Resource-Constrained Construction Projects., and . IEEE Trans. Engineering Management, 61 (3): 450-461 (2014)Combining machine learning models via adaptive ensemble weighting for prediction of shear capacity of reinforced-concrete deep beams., , , and . Eng. Comput., 36 (3): 1135-1153 (2020)Opposition-Based Multiple-Objective Differential Evolution to Solve the Time-Cost-Environment Impact Trade-Off Problem in Construction Projects., and . J. Comput. Civ. Eng., (2015)Opposition multiple objective symbiotic organisms search (OMOSOS) for time, cost, quality and work continuity tradeoff in repetitive projects., , , , and . J. Comput. Des. Eng., 5 (2): 160-172 (2018)A novel Multiple Objective Symbiotic Organisms Search (MOSOS) for time-cost-labor utilization tradeoff problem., , and . Knowl. Based Syst., (2016)Solving Resource-Constrained Project Scheduling Problems Using Hybrid Artificial Bee Colony with Differential Evolution., , and . J. Comput. Civ. Eng., (2016)Hybrid multiple objective evolutionary algorithms for optimising multi-mode time, cost and risk trade-off problem., , and . Int. J. Comput. Appl. Technol., 60 (3): 203-214 (2019)