An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
A review on machine learning, artificial intelligence, and smart technology in water treatment and monitoring
Artificial-intelligence methods and machine-learning models have demonstrated their ability
to optimize, model, and automate critical water-and wastewater-treatment applications …
to optimize, model, and automate critical water-and wastewater-treatment applications …
MEALPY: An open-source library for latest meta-heuristic algorithms in Python
Meta-heuristic algorithms are becoming more prevalent and have been widely applied in
various fields. There are numerous reasons for the success of such techniques in both …
various fields. There are numerous reasons for the success of such techniques in both …
Golden eagle optimizer: A nature-inspired metaheuristic algorithm
This paper proposes a nature-inspired swarm-based metaheuristic for solving global
optimization problems called Golden Eagle Optimizer (GEO). The core inspiration of GEO is …
optimization problems called Golden Eagle Optimizer (GEO). The core inspiration of GEO is …
[HTML][HTML] Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review
Recent years have seen an increasing interest in Demand Response (DR) as a means to
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …
Building an efficient intrusion detection system based on feature selection and ensemble classifier
Y Zhou, G Cheng, S Jiang, M Dai - Computer networks, 2020 - Elsevier
Intrusion detection system (IDS) is one of extensively used techniques in a network topology
to safeguard the integrity and availability of sensitive assets in the protected systems …
to safeguard the integrity and availability of sensitive assets in the protected systems …
A review on anaerobic digestion with focus on the role of biomass co-digestion, modelling and optimisation on biogas production and enhancement
The status, recent trends and future perspectives in modelling and optimisation of anaerobic
co-digestion is investigated. Areas that can be focused on and those which need further …
co-digestion is investigated. Areas that can be focused on and those which need further …
A reinforcement learning-based metaheuristic algorithm for solving global optimization problems
A Seyyedabbasi - Advances in Engineering Software, 2023 - Elsevier
The purpose of this study is to utilize reinforcement learning in order to improve the
performance of the Sand Cat Swarm Optimization algorithm (SCSO). In this paper, we …
performance of the Sand Cat Swarm Optimization algorithm (SCSO). In this paper, we …
Nature-inspired optimization algorithms: Challenges and open problems
XS Yang - Journal of Computational Science, 2020 - Elsevier
Many problems in science and engineering can be formulated as optimization problems,
subject to complex nonlinear constraints. The solutions of highly nonlinear problems usually …
subject to complex nonlinear constraints. The solutions of highly nonlinear problems usually …
Coyote optimization algorithm: a new metaheuristic for global optimization problems
The behavior of natural phenomena has become one of the most popular sources for
researchers to design optimization algorithms for scientific, computing and engineering …
researchers to design optimization algorithms for scientific, computing and engineering …