IEEE

Kriging Surrogate Model-Based Constraint Multiobjective Particle Swarm Optimization Algorithm

Abstract: The main challenge when solving constrained multiobjective optimization problems (CMOPs) with intricate constraints and high dimensionality is how to overcome a problem of irregular and ...
IEEE

Real-Valued Discrete Fractional Hadamard Transform: Fast Algorithms and Implementations

Abstract: This paper introduces a new real-valued discrete fractional Hadamard transform (RFHT) designed to address the issues of high computational complexity and large storage demands found in the ...
GitHub

A Python implementation of the Wave Function Collapse (WFC) algorithm for procedural generation and constraint satisfaction problems.

Wave Function Collapse is a constraint satisfaction algorithm originally used for procedural generation. It works by maintaining a grid where each cell has multiple possible states, then iteratively ...
GitHub

The problem is solved when each variable has a value that satisfies all the constraints on the variable. Search algorithms include Backtracking and Min-conflicts

Course given by: Gauthier PICARD, Professor. PhD. HDR at the Ecole des Mines de Saint-étienne. Here is his statement of the problem: https://www.emse.fr/~picard ...