Combinatorial optimization and integer programming form the backbone of decision-making models in which discrete choices must be made under constraints. At its core, integer programming specialises in ...

A state law that goes into effect in October prohibits grocery stores and third-party delivery services from using consumer data to boost prices. By John S.W. MacDonald Maryland this week became the ...

Global optimization of nonlinear mixed-integer programming (MINLP) addresses decision problems in which some variables are constrained to take integer values, while the objective function or ...

A new technical paper titled “PPA-Aware Tier Partitioning for 3D IC Placement with ILP Formulation” was published by researchers at Seoul National University and Ulsan National Institute of Science ...

Lawmakers in Harrisburg are looking at bills to tackle dynamic pricing. Consumers see dynamic prices on purchases like airfare, hotel rooms and concert tickets. It means when there's high demand and ...

This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

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Department of Mathematics and Computer Science, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark ...