figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Democracy Now - slide presentation - English<p dir="ltr">Slide show for illustrative purpose - Democracy Now - Pre Print Review 2026</p>
ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Genetic algorithm approach to inconsistency reduction: A numerical study<p dir="ltr">This dataset includes 5 files in Excel with input and output of Monte Carlo simulations</p>
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
Aplicação de Search-Based Software Engineering (SBSE) em Gerenciamento de Projetos de Softwares: Uma proposta para o Planejamento Estratégico e Otimização dos resultados na Engenharia de Softwares.<p dir="ltr">(Anexo)</p>
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
BEFORE AUTONOMY: Earning the Right to Act<p dir="ltr">This book argues for a simple engineering principle: a system should not receive more freedom to act than we have the independent ability to verify, constrain, and stop. Five ideas carry the argument. 1. Safety Must Be Designed Before Capability Growth Boundaries, stop mechanisms, verification criteria, and rules for expanding authority must exist before the system receives the corres
ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
BEFORE LAUNCH: A Design-Stage Systems Engineering Doctrine for Autonomous Artificial Intelligence<p dir="ltr">This study presents a systems-engineering framework for the development, verification, qualification, and eventual authorization of increasingly capable autonomous AI systems. The doctrine addresses a central engineering problem: how to permit capability growth without allowing assurance, evidence, or authority mechanisms to become obsolete as the system changes. The framework separat
ZivaHub2026 · dataset
Multi-objective grey wolf optimizerMetaheuristics have become very popular in the last two decades. This class of problem solving techniques includes a wide range of algorithms to find reasonably good solutions for problems where deterministic methods are not efficient. Their name come from their mechanism, in which they do not required problem-specific heuristic information. Such methods are stochastic and consider problems as a b
HKU DataHub + figshare + Loughborough Research Repository2026 · Astronomical catalogue
Logistics dataset for optimization<p dir="ltr">The dataset contains 5000 records with 19 attributes pertaining to transport of goods to various locations by drivers travelling on different routes. Columns include route specific data (route identifier, distance, traffic density, fuel consumed), environmental metrics (temperature and humidity), variables related to driver behaviour (fatigue level, feedback score, violations), and ot
Teesside University Research Data Repository2025 · dataset
Data for: A Q-learning based multi-phase grey wolf optimization algorithm for distributed no-wait job shop problem to minimize makespanthis is the data in the research paper entitled "Q-learning based multi-phase grey wolf optimization algorithm for distributed no-wait job shop problem to minimize makespan".
Teesside University Research Data Repository2021 · dataset
Golden Tortoise Beetle Optimizer: A Novel Nature-Inspired Meta-heuristic Algorithm for Engineering ProblemsReserach Data including implementation code in Matlab.