A salp swarm algorithm for parallel disassembly line balancing considering workers with government benefits

S Qin, J Li, J Wang, X Guo, S Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Proper disassembly operations organization and workstation assignment can help increase
the efficiency of disassembly systems that are critical for recycling and remanufacturing of …

[PDF][PDF] Multi-objective optimization of technical stock market indicators using gas

MB Fayek, HM El-Boghdadi… - International Journal of …, 2013 - academia.edu
Recent financial researches showed that technical indicators are useful tools for stock
prediction. Technical indicators are used to generate trading signals (buy/sell) signals. The …

A hybrid of grey wolf optimization and genetic algorithm for optimization of hybrid wind and solar renewable energy system

DK Geleta, MS Manshahia - Journal of the Operations Research Society of …, 2021 - Springer
In this paper, a hybrid of grey wolf optimization (GWO) and genetic algorithm (GA) has been
implemented to minimize the annual cost of hybrid of wind and solar renewable energy …

A comparative study of the MACD-base trading strategies: evidence from the US stock market

PT Chio - arXiv preprint arXiv:2206.12282, 2022 - arxiv.org
In recent years, more and more investors use technical analysis methods in their own
trading. Evaluating the effectiveness of technical analysis has become more feasible due to …

Comparison of genetic algorithms for trading strategies

P Kroha, M Friedrich - SOFSEM 2014: Theory and Practice of Computer …, 2014 - Springer
In this contribution, we describe and compare two genetic systems which create trading
strategies. The first system is based on the idea that the connection weight matrix of a neural …

AI-Driven Trading: Navigating the Complex Landscape of Market Manipulation

S Jain - Market Grooming: The Dark Side of AI Marketing, 2024 - emerald.com
Algorithmic trading has evolved beyond traditional methods by incorporating machine
learning techniques to analyse extensive datasets. The integration of machine learning and …

A genetic algorithm based decision support system for forecasting security prices in stock index

V Kapoor, S Dey - Journal of Information and Optimization …, 2022 - Taylor & Francis
Recent studies in finance argue that technical analysis has the ability to predict stock prices.
Though a variety of systems are used for market assessment and timing, past research has …

Algorithmic trading system based on technical indicators in artificial intelligence: A review

ZS Zulkifli, M Surip, H Mohammad, N Zamri… - AIP Conference …, 2023 - pubs.aip.org
Due to the advanced and hasty development of technology nowadays, researches in
relation to Artificial Intelligence (AI) such as Machine Learning (ML), Genetic Algorithm (GA) …

Beating the zero-sum game using GA to optimize technical financial market indicators

MAA Ibrahim, K Raahemifar - 2016 IEEE Canadian Conference …, 2016 - ieeexplore.ieee.org
Technical Indicators (TIs) are not only useful tools to analyze and forecast the price of
financial security, but also one of the well established applications currently in practice to …

[PDF][PDF] A Hybrid Genetic Programming-Particle Swarm Approach for Designing Trading Strategies in Software and Hardware

AI Funie, W Luk, M Salmon - Department of Computing (Masters in …, 2013 - doc.ic.ac.uk
The aim of this project is to investigate the design and implementation of high frequency
trading rules using genetic programming and swarm intelligence. The approach taken was …