Essential Guide to Evaluation and Optimization Models: Concepts, Methods, and Algorithms

Evaluation Models

Model Evaluation 01 – Basic concepts of evaluation models

Model Evaluation 02 – Data preprocessing: indicator selection

Model Evaluation 03 – Data preprocessing: indicator standardization

Model Evaluation 04 – Dimensionless processing of data

Model Evaluation 05 – TOPSIS method

Model Evaluation 06 – Entropy weight method

Model Evaluation 07 – CRITIC method

Model Evaluation 08 – Analytic Hierarchy Process (AHP)

Model Evaluation 08‑1 – AHP code implementation

Model Evaluation 09 – Fuzzy comprehensive evaluation

Model Evaluation 15 – Rank‑sum ratio method

Model Evaluation 16 – Grey relational analysis

Model Evaluation 17 – Four mathematical models for measuring differences between children

Optimization Models

Optimization Modeling 01 – Basic concepts of linear programming

Optimization Modeling 02 – Basic concepts of integer programming

Optimization Modeling 04 – Fixed‑cost model

Optimization Modeling 05 – Facility location problem

Optimization Modeling 12 – Sensitivity analysis of linear programming problems

Optimization Modeling 13 – Multi‑period production scheduling

Optimization Modeling 14 – Transportation problem

Optimization Modeling 17 – Basic concepts of graph theory

Optimization Modeling 18 – Graph representation

Optimization Modeling 19 – Concepts and characteristics of complex networks

Optimization Modeling 06 – Shortest path algorithm

Optimization Modeling 07 – Minimum spanning tree problem

Optimization Modeling 08 – Maximum flow problem

Optimization Modeling 09 – Minimum cost flow problem

Optimization Modeling 10 – Basic idea of simulated annealing algorithm

Optimization Modeling 11 – Steps of simulated annealing algorithm

Optimization Modeling 22 – (Comic) Genetic algorithm search mechanism