Mixed-integer nonlinear programming (MINLP) optimisation constitutes a critical methodology in tackling complex decision-making problems where both discrete choices and continuous variables are ...

Integer programming is a crucial branch of mathematical optimisation that focuses on problems where some or all decision variables are constrained to be integers. This field underpins many practical ...

We present a method for approximating the solution of mixed integer nonconcave programming problems in bounded variables. We present computational results for 39 test problems which suggest that the ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

A group of scientists led by researchers from Austria’s Technical University of Leoben has developed a mixed-integer linear programming (MILP)-based multi-objective optimization (MOO) model for ...

Traffic modeling has been of interest to mathematicians since the 1950s. Research in the area has only grown as road traffic control presents an ever-increasing problem. Generally, models for traffic ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

An important strategic decision for any operational mine is the differentiation between ore and waste material; this differentiation is referred to as the cutoff grade. In underground mining, material ...