Machine Learning Heuristic for Solving Multi-Mode Resource-Constrained Project Scheduling Problems
The non-preemptive resource-constrained project scheduling problem is considered in this work. It is assumed that each activity has many ways of execution and the objective is to find a schedule that minimizes the project’s completion time (multi-mode RCPSP). Methods that are based on priority rules do not always give the needed very good results when used to solve multi-mode RCPSP. In...
Published at Lecture Notes in Engineering and Computer Science: Proceedings of The International MultiConference of Engineers and Computer Scientists 2018, 14-16 March, 2018, Hong Kong
Pages 23-28
Published in 2018
PI Adamu; MC Agarana; HI Okagbue
Okagbue Hilary Izuchukwu » Hilary Izuchukwu Okagbue Obtained his B.Tech, M.Sc and Ph.D. degrees in Industrial Mathematics and Statistics from the Federal University of Technology, Owerri, University of Lagos, Covenant University in 2007, 2010 and 2019 respectively. His research interests include Data Analysis, Mathematical Statistics, Mathematical Cryptography and analysis of patterns in number theory. view full profile