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At its most basic, we're looking to answer a question like: what value of x maximizes (or minimizes) f(x)?
Often, this is explained as finding the most efficient means to some end. For example, what mix of staple foods constitutes a nutritionally complete diet at least cost?
But descriptive modeling also involves optimization, when we are confronted with a logical space of possible descriptions and need to pick one to move ahead. We typically optimize to model the world (e.g. running a regression to estimate technical coefficients) before optimizing to choose a course of action (e.g. using such technical coefficients to plan production).
gnu linear programming toolkit in browser
Branch and Bound (textbook description)
Equilibrium Prices in Markets With Nonconvexities
Linear Programming Formulettes
Eyal Kazin - A Gentle Introduction to Multi-Objective Optimisation
International Society on MCDM - Multiple Criteria Decision Making History
Lavrov - Math 482: Linear Programming (Spring 2020)
Lofti, Stewart, Zionts - An aspiration-level interactive model for multiple criteria decision making
International Society for Ecological Economics: Multicriteria Assessment
https://en.wikipedia.org/wiki/Multiple-criteria_decision_analysis
Introduction to Scalarization Methods for Multi-objective Optimization
https://arjzaidi.files.wordpress.com/2014/08/revellechp5.pdf
Saltelli - Slides on Social Choice and Multi-Criteria Decision Making