Title: Hybrid multiple objective evolutionary algorithms for optimising multi-mode time, cost and risk trade-off problem

Authors: Luong Duc Long; Duc-Hoc Tran; Phong Thanh Nguyen

Addresses: Department of Construction Engineering and Management, Ho Chi Minh City University of Technology, Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City, Vietnam ' Department of Construction Engineering and Management, Ho Chi Minh City University of Technology, Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City, Vietnam ' Department of Project Management, Faculty of Civil Engineering, Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam

Abstract: Identifying and minimising the risks associated with time, and cost factors in construction projects are the main challenges for all parties involved. The objective of project management is to complete the scope of work on time, within budget and deliver a quality product in a safe fashion to maximise overall project success. This research presents a new hybrid multiple objective evolutionary algorithm based on hybridisation of Artificial Bee Colony (ABC) and differential evolution to facilitate time-cost-risk trade-off problems (MOABCDE-TCR). The proposed algorithm integrates core operations from Differential Evolution (DE) into the original ABC in order to enhance the exploration and exploitation capacity of the optimisation process. A numerical construction project case study demonstrates the ability of MOABCDE-generated non-dominated solutions to optimise TCR problem. Comparisons between the MOABCDE and currently widely used multiple objective algorithms verify the efficiency and effectiveness of the developed algorithm.

Keywords: time-cost-risk trade-off; construction management; multi-objective analysis; ABC; artificial bee colony; differential evolution.

DOI: 10.1504/IJCAT.2019.100299

International Journal of Computer Applications in Technology, 2019 Vol.60 No.3, pp.203 - 214

Accepted: 20 Sep 2018
Published online: 24 Jun 2019 *

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