Slime mould algorithm: a comprehensive review of recent variants and applications
Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …
because of its simple structure, excellent optimisation capabilities, and acceptable …
Slime mould algorithm: A comprehensive survey of its variants and applications
Meta-heuristic algorithms have a high position among academic researchers in various
fields, such as science and engineering, in solving optimization problems. These algorithms …
fields, such as science and engineering, in solving optimization problems. These algorithms …
A comprehensive review on multi-objective optimization techniques: Past, present and future
S Sharma, V Kumar - Archives of Computational Methods in Engineering, 2022 - Springer
Realistic problems typically have many conflicting objectives. Therefore, it is instinctive to
look at the engineering problems as multi-objective optimization problems. This paper briefly …
look at the engineering problems as multi-objective optimization problems. This paper briefly …
Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection
The slime mould algorithm (SMA) is a logical swarm-based stochastic optimizer that is easy
to understand and has a strong optimization capability. However, the SMA is not suitable for …
to understand and has a strong optimization capability. However, the SMA is not suitable for …
An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems
W Zhao, Z Zhang, S Mirjalili, L Wang… - Computer Methods in …, 2022 - Elsevier
Artificial hummingbird algorithm (AHA) is a recently developed bio-based metaheuristic and
it shows superior performance in handling single-objective optimization problems. Despite …
it shows superior performance in handling single-objective optimization problems. Despite …
A new arithmetic optimization algorithm for solving real-world multiobjective CEC-2021 constrained optimization problems: diversity analysis and validations
In this paper, a new Multi-Objective Arithmetic Optimization Algorithm (MOAOA) is proposed
for solving Real-World constrained Multi-objective Optimization Problems (RWMOPs). Such …
for solving Real-World constrained Multi-objective Optimization Problems (RWMOPs). Such …
An efficient slime mould algorithm for solving multi-objective optimization problems
Recently, the Slime mould algorithm (SMA) was proposed to solve the single-objective
optimization problems. It is considered as a strong algorithm for its efficient global search …
optimization problems. It is considered as a strong algorithm for its efficient global search …
Boosting slime mould algorithm for parameter identification of photovoltaic models
Estimating the photovoltaic model's unknown parameters efficiently and accurately can
determine the solar cell's efficacy in converting the solar energy into electricity. For this …
determine the solar cell's efficacy in converting the solar energy into electricity. For this …
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation
L Liu, D Zhao, F Yu, AA Heidari, J Ru, H Chen… - Computers in Biology …, 2021 - Elsevier
Breast cancer is one of the most dangerous diseases for women's health, and it is imperative
to provide the necessary diagnostic assistance for it. The medical image processing …
to provide the necessary diagnostic assistance for it. The medical image processing …
A comparative study of state-of-the-art metaheuristics for solving many-objective optimization problems of fixed wing unmanned aerial vehicle conceptual design
S Anosri, N Panagant, P Champasak… - … Methods in Engineering, 2023 - Springer
The complexity of aircraft design problems increases with many objectives and diverse
constraints, thus necessitating effective optimization techniques. In recent years many new …
constraints, thus necessitating effective optimization techniques. In recent years many new …