An algorithm that implements intelligence based on a Method pool (a collection containing multiple types of functions). 一种基于方法池（包含多种类型的函数的集合）实现智能的算法

An emotion-driven optimizer that feels loss and navigates accordingly.

This repository contains the implementation of an enhanced NSGA-II algorithm for solving the Flexible Job Shop Scheduling Problem (FJSP), focusing on multi-objective optimization. Developed as part of the Bio-Inspired Artificial Intelligence course project at the University of Trento.

An emotion-driven optimizer that feels loss and navigates accordingly.

🧠 Thread-safe adaptive compression decision system - learns when to skip ineffective compression using lock-free algorithms.

Comprehensive analysis of Adaptive PSO vs Standard PSO on CEC2017 benchmarks. APSO demonstrates 15-40% better solution quality and 20-60% faster convergence across 30 test functions (10-100 dimensions). Foundation for real-world optimization applications.

Bio-Inspired Wireless Optimization for 6G ISAC — adaptive interference cancellation, benchmarking, and standards-aligned integration tools

A non-standard, fractal-inspired sorting algorithm with adaptive multi-pivot partitioning and k-way heap merging. Achieves near O(n log log n) performance in ideal cases.

Alpha Drift is an experimental platform for developing, testing, and analyzing advanced AI-driven decision-making algorithms, with a focus on adaptive learning, real-time data processing, and web3 trading automation.

Push_Swap is a 42 School project that involves sorting data using a limited set of stack operations, where the goal is to arrange a sequence of integers in ascending order using two stacks (stack A and stack B) with the fewest possible moves.