Hybrid MODE Algorithms for Optimizing Resource Trade-offs - Tran, Duc-Hoc
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This book investigated the potential use of various advanced techniques to improve multiple objective Differential Evolution. Three hybrid multiple objective Differential Evolution (MODE) algorithms that integrate chaotic maps, opposition-based learning technique and Artificial Bee Colony are introduced to solve the resource scheduling problems. Numerous real construction case studies including time-cost-quality tradeoff, time-cost tradeoffs in resource-constrained, time-cost-labor utilization tradeoff and time-cost-environment impact tradeoff problems are used to demonstrate the proposed models…mehr

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Produktbeschreibung
This book investigated the potential use of various advanced techniques to improve multiple objective Differential Evolution. Three hybrid multiple objective Differential Evolution (MODE) algorithms that integrate chaotic maps, opposition-based learning technique and Artificial Bee Colony are introduced to solve the resource scheduling problems. Numerous real construction case studies including time-cost-quality tradeoff, time-cost tradeoffs in resource-constrained, time-cost-labor utilization tradeoff and time-cost-environment impact tradeoff problems are used to demonstrate the proposed models
Autorenporträt
Duc-Hoc TRAN is currently a lecturer at Faculty of Project Management, University of Science and Technology-The University of Da Nang. He got the MSc. and PhD degrees at National Taiwan University of Science and Technology. Research interests: project scheduling, scheduling theory, intelligent optimization method; multiple objective optimization