Integrated ANN-HMH Approach for Nonlinear Time-Cost Tradeoff Problem

Abstract

This paper presents an integrated Artificial Neural Network - Hybrid Meta Heuristic(ANN-HMH) method to solve the nonlinear time-cost tradeoff(TCT) problem of real life engineering projects. ANN models help to capture the existing nonlinear time-cost relationship in project activities. ANN models are then integrated with HMH technique to search for optimal TCT profile. HMH is a proven evolutionary multiobjective optimization technique for solving TCT problems. The study has implication in real time monitoring and control of project scheduling processes.

Keywords:

• Artificial Neural Network (ANN)
• Hybrid Meta-Heuristic (HMH)
• Time-Cost Tradeoff (TCT)