A salp swarm algorithm for parallel disassembly line balancing considering workers with government benefits
Proper disassembly operations organization and workstation assignment can help increase
the efficiency of disassembly systems that are critical for recycling and remanufacturing of …
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 …
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 …
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 …
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 …
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 …
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
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 …
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
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) …
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 …
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
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 …
trading rules using genetic programming and swarm intelligence. The approach taken was …