Hybrid MODE Algorithms for Optimizing Resource Trade-offs.

      Аннотация: 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

Ключевые слова: artificial bee colony, Chaotic maps Resource Scheduling, construction management, differential evolution, Opposition-based learning, Multiple Objective Optimization