optimization algorithms

Model Perspective

Feb 1, 2024 · Operations

A Curated Guide to Evaluation and Optimization Models for Researchers

This article compiles a comprehensive list of evaluation and optimization model resources, covering Data Envelopment Analysis, ANP, VIKOR, grey relational analysis, linear and integer programming, and various meta‑heuristic algorithms with example implementations, providing a handy reference for scholars and practitioners.

Linear Programmingevaluation modelsmetaheuristics

0 likes · 4 min read

A Curated Guide to Evaluation and Optimization Models for Researchers

Model Perspective

Nov 7, 2022 · Operations

Essential Guide to Evaluation and Optimization Models: Resources & Algorithms

This curated list compiles recent articles on evaluation and optimization models, covering Data Envelopment Analysis, ANP, VIKOR, various grey analysis methods, competition ranking techniques, case studies, linear and integer programming, and a range of optimization algorithms with Python examples.

DEAPythonmodel evaluation

0 likes · 4 min read

Essential Guide to Evaluation and Optimization Models: Resources & Algorithms

DataFunSummit

Sep 11, 2022 · Operations

DataFun Summit 2022 – Decision Intelligence Online Conference: Speaker Lineup and Topics

The DataFun Summit 2022 Decision Intelligence online conference on September 24 features leading experts from academia and industry presenting research on supply‑chain optimization, electric‑vehicle service network design, simulation‑based decision frameworks, high‑performance distributed machine‑learning platforms, and advanced optimization solvers.

Artificial IntelligenceConferencedecision intelligence

0 likes · 8 min read

DataFun Summit 2022 – Decision Intelligence Online Conference: Speaker Lineup and Topics

Model Perspective

Jul 6, 2022 · Fundamentals

Mastering Gradient Descent: A Practical Guide to Numerical Optimization

This article explains why algebraic methods often fail to locate critical points in real‑world problems and introduces the steepest descent (gradient descent) algorithm as a simple iterative numerical technique, detailing its initialization, update rules, step‑size considerations, and a concrete example.

critical pointsgradient descentnumerical optimization

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Mastering Gradient Descent: A Practical Guide to Numerical Optimization

Python Programming Learning Circle

Dec 11, 2019 · Fundamentals

Master Python Optimization: Bisection, Fibonacci, Golden Section & Newton Methods

This article walks through several Python optimization techniques—including the bisection, three‑point division, Fibonacci, golden‑section, quadratic interpolation, and Newton methods—providing clear code examples, explanations of return statements, variable type handling, and debugging tips.

Bisection MethodGolden SectionNewton's Method

0 likes · 12 min read

Master Python Optimization: Bisection, Fibonacci, Golden Section & Newton Methods