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Course about advanced modeling for discrete optimization, covering topics such as debugging or predicates

Lead Data Scientist at Bluecrux with a newsletter about Constraint Programming.

Associate Professor at Universidade Federal da Paraíba + Host of the “Subject to” podcast.

Optimization Expert | Algorithm Design | Operations Research

Operations Research Scientist at Amazon, shares pragmatic views about delivering value through OR.

An introduction to algorithms and computational complexity to solve combinatorial optimization problems

Professor in Operations Research at Copenhagen Business School; Editor-in-Chief of TOP, the OR journal of SEIO.

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness.

J.D. Kelly is an Advanced Planning and Scheduling (APS) and Advanced Process Control (APC) expert in the process industries including both optimization and estimation technologies otherwise known as Advanced Production-chain Control, Optimization and Estimation (APCOE)

Reader in Mathematics at the University of Edinburgh

Professor of Decision and Operation Technologies at Bielefeld University.

Professor of Industrial and Systems Engineering at the University of Wisconsin-Madison, 2023 INFORMS President.

Professor of operations research at RWTH Aachen University.

Assistant Professor of Transportation Engineering @ York University | Director of Interactive-OR | Amazon Visiting Academic @ Amazon

Creator of Optimization Solvers, CEO at InsideOpt.

Principal Research Scientist | AI Planning, Reasoning, and Decision-Making Systems; Executive Council Board Member at ICAPS and at AAAI, AAAI Senior Member

A discussion about books focused on duality theory

This book offers an up-to-date description of relaxation/approximation and decomposition techniques, demonstrating how their combined use efficiently solves large-scale optimization problems relevant to engineering, particularly in electrical, and industrial engineering, with a focus on energy.

An interesting book about Column Generation to tackle large-scale optimization problems

Manager, Operations Research & Data Science | Optimization Expert (Ph.D.)

President of Optisol, Scheduling Specialist for High-Variety, Order-Driven Production and Resource-Constrained Projects.

Course about solving discrete optimization problems with different techniques: Constraint Programming, Mixed Integer Programming and Local Search

Self-employed OR Engineer at Bluebird Optimization sharing insights about the impact of optimization in businesses.

Mathematical Optimization Researcher, Teacher, and Manager

Professor Emeritus, Princeton University/ Co-Founder, Optimal Dynamics, shares knowledge about sequential decision problems.