ゲームで学ぶ探索アルゴリズム実践入門~木探索とメタヒューリスティクス(著)青木栄太 のコードをJulia言語で実装してみるrepo。
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Apr 11, 2023 - Julia
ゲームで学ぶ探索アルゴリズム実践入門~木探索とメタヒューリスティクス(著)青木栄太 のコードをJulia言語で実装してみるrepo。
HyPy is a general hyper-heuristic package for solving combinatorial optimization problems by employing and developing hyper-heuristics.
Todo o conteúdo produzido para a unidade curricular IART (Inteligência Artificial), para o curso em Engenharia Informática e Computação na FEUP
USI-MSc AI Course: Hands-on Lab Experiences
Implementation of algorithms for Aircraft Landing Problem
A project @ Production System Analysis.
Master Thesis for M.Sc. Business Education - Pre-Trained Denoising Autoencoders Long Short-Term Memory Networks as probabilistic Models for Estimation of Distribution Genetic Programming
Functional Link Adaptive Bacterial Foraging using Life Cycle and Social Learning
Meta-heuristic approaches to select important features only for performance enhancement in effective Intrusion Detection System.
Coursework for CSCI-633 Bio-Inspired Intelligent Systems
Multi-Objective Agent-Based Hyper-Heuristic
A C++ program that resolve a TSP problem using Local Search and Tabu Search metaheuristics with small variants. Download report here https://github.com/EduBic/TSP-MetaheuristicSolvers-Documentation/releases
Julia library for the Determinant-Optimality Problem (D-OPT)
Online selection hyper-heuristic with generic parameter control in low-level heuristics (meta-heuristic).
(Code IQSO-MLP) nQSV-Net: a novel queuing search variant for global space search and workload modeling
Efficient Time-series Forecasting using Neural Network and Opposition-based Coral Reefs Optimization
Techniques and applications of optimisation in operations research, including linear programming, integer programming, dynamic programming and meta-heuristics. Use of Python and the Gurobi optimisation package for linear and integer programming.
Machine Learning Hyper-parameter Tuning processes
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