Intelligent optimization: Literature review and state-of-the-art algorithms (1965–2022)

A Mohammadi, F Sheikholeslam - Engineering Applications of Artificial …, 2023 - Elsevier
Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …

Mother optimization algorithm: A new human-based metaheuristic approach for solving engineering optimization

I Matoušová, P Trojovský, M Dehghani, E Trojovská… - Scientific Reports, 2023 - nature.com
This article's innovation and novelty are introducing a new metaheuristic method called
mother optimization algorithm (MOA) that mimics the human interaction between a mother …

Nature-inspired metaheuristic search algorithms for optimizing benchmark problems: inclined planes system optimization to state-of-the-art methods

A Mohammadi, F Sheikholeslam, S Mirjalili - Archives of Computational …, 2023 - Springer
In the literature, different types of inclined planes system optimization (IPO) algorithms have
been proposed and evaluated in various applications. Due to the large number of variants …

[PDF][PDF] POA: Puzzle Optimization Algorithm.

FA Zeidabadi, M Dehghani - … Journal of Intelligent Engineering & Systems, 2022 - inass.org
Optimization plays a key role in various disciplines of science in order to achieve the optimal
solution among all available solutions. Innovation and contribution of this paper is in …

A novel machine-learning-based hybrid CNN model for tumor identification in medical image processing

G Dhiman, S Juneja, W Viriyasitavat, H Mohafez… - Sustainability, 2022 - mdpi.com
The popularization of electronic clinical medical records makes it possible to use automated
methods to extract high-value information from medical records quickly. As essential medical …

[PDF][PDF] Skill Optimization Algorithm: A New Human-Based Metaheuristic Technique.

H Givi, M Hubalovska - Computers, Materials & Continua, 2023 - pdfs.semanticscholar.org
Metaheuristic algorithms are widely used in solving optimization problems. In this paper, a
new metaheuristic algorithm called Skill Optimization Algorithm (SOA) is proposed to solve …

Smart-hydroponic-based framework for saffron cultivation: a precision smart agriculture perspective

K Kour, D Gupta, K Gupta, G Dhiman, S Juneja… - Sustainability, 2022 - mdpi.com
Saffron, one of the most expensive crops on earth, having a vast domain of applications, has
the potential to boost the economy of India. The cultivation of saffron has been immensely …

[PDF][PDF] Archery algorithm: A novel stochastic optimization algorithm for solving optimization problems

V Leiva, G Dhiman - energy, 2022 - researchgate.net
Finding a suitable solution to an optimization problem designed in science is a major
challenge. Therefore, these must be addressed utilizing proper approaches. Based on a …

Appositeness of optimized and reliable machine learning for healthcare: a survey

S Swain, B Bhushan, G Dhiman… - Archives of Computational …, 2022 - Springer
Abstract Machine Learning (ML) has been categorized as a branch of Artificial Intelligence
(AI) under the Computer Science domain wherein programmable machines imitate human …

[PDF][PDF] Migration Algorithm: A New Human-Based Metaheuristic Approach for Solving Optimization Problems.

P Trojovský, M Dehghani - CMES-Computer Modeling in …, 2023 - cdn.techscience.cn
This paper introduces a new metaheuristic algorithm called Migration Algorithm (MA), which
is helpful in solving optimization problems. The fundamental inspiration of MA is the process …