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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 …
Metaheuristic optimization algorithms: A comprehensive overview and classification of benchmark test functions
This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …
Dwarf mongoose optimization algorithm
This paper proposes a new metaheuristic algorithm called dwarf mongoose optimization
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …
Ebola optimization search algorithm: A new nature-inspired metaheuristic optimization algorithm
Nature computing has evolved with exciting performance to solve complex real-world
combinatorial optimization problems. These problems span across engineering, medical …
combinatorial optimization problems. These problems span across engineering, medical …
Human evolutionary optimization algorithm
This paper introduces the Human Evolutionary Optimization Algorithm (HEOA), a
metaheuristic algorithm inspired by human evolution. HEOA divides the global search …
metaheuristic algorithm inspired by human evolution. HEOA divides the global search …
Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm
Recently, research has shown an increased spread of non-communicable diseases such as
cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in …
cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in …
Intelligent optimization: Literature review and state-of-the-art algorithms (1965–2022)
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 …
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …
Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm
Reliable and accurate brain tumor segmentation is a challenging task even with the
appropriate acquisition of brain images. Tumor grading and segmentation utilizing Magnetic …
appropriate acquisition of brain images. Tumor grading and segmentation utilizing Magnetic …
MOAVOA: a new multi-objective artificial vultures optimization algorithm
This paper presents a multi-objective version of the artificial vultures optimization algorithm
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …
(AVOA) for a multi-objective optimization problem called a multi-objective AVOA (MOAVOA) …
A contemporary systematic review on meta-heuristic optimization algorithms with their matlab and python code reference
Optimization is a method which is used in every field, such as engineering, space, finance,
fashion market, mass communication, travelling, and also in our daily activities. In every …
fashion market, mass communication, travelling, and also in our daily activities. In every …