IEEE

Multi-Objective Optimization of Airport Check-In Counter Allocation Using Genetic Algorithms

Abstract: This paper presents a multi-objective optimization approach using Genetic Algorithms (GAs) to address the Airport Check-In Counter Allocation problem. A hybrid model balancing operational ...
IEEE

Optimizing Genetic Algorithms for TSP: Evaluating Greedy Permuting Method with Diverse Selection and Crossover Techniques

Abstract: The Greedy Permuting Method (GPM) is a method introduced for initial population generation in the Genetic Algorithm (GA). For a test problem with 280 cities, the generated initial population ...
GitHub

Python implementation of the TurboQuant and QJL vector quantization algorithms.

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...