Atmospheric Oxidation of Copper Concentrates: Phase Transformation Mechanisms and Predictive Modeling
Archives of Metallurgy and Materials
MM
Biography
MendAmar Majig is a faculty member in applied mathematics at the National University of Mongolia. He received his Ph.D. from Kyoto University in 2009, where he worked with Masao Fukushima's optimization group on global optimization approaches for general variational inequality problems.
His research spans optimization theory — variational inequalities, equilibrium problems, and evolutionary algorithms — and its applications in operations research, from climate model evaluation to public service simulation.
Publications
Simulating Call Center Operations: A Case Study of Ulaanbaatar City's Public Transportation
Algorithmic Applications in Management (AAIM)
Evaluation for CMIP6 Climate Models Using a Weighting Technique: A Case Study in the Kherlen River Basin, Mongolia
Pure and Applied Geophysics
A Genetic Algorithm Approach for the Multi-constraint Team Orienteering Problem
Evolutionary Algorithm for Generalized Nash Equilibrium Problems
Springer Optimization and Its Applications
A Hybrid Evolutionary Algorithm for Global Optimization
Studies on global optimization approach for general variational inequality problems
Ph.D. thesis, Kyoto University
A global optimization approach for solving non-monotone variational inequality problems
Optimization
Adaptive Fitness Function for Evolutionary Algorithm and Its Applications
International Conference on Informatics Education and Research (IEEE)
Restricted-step Josephy–Newton method for general variational inequalities with polyhedral constraints
Pacific Journal of Optimization
Hybrid evolutionary algorithm for solving general variational inequality problems
Journal of Global Optimization