A comprehensive survey on symbiotic organisms search algorithms
FS Gharehchopogh, H Shayanfar… - Artificial Intelligence …, 2020 - Springer
Recently, meta-heuristic algorithms have made remarkable progress in solving types of
complex and NP-hard problems. So that, most of this algorithms are inspired by swarm …
complex and NP-hard problems. So that, most of this algorithms are inspired by swarm …
State-of-the-art review of machine learning applications in additive manufacturing; from design to manufacturing and property control
In this review, some of the latest applicable methods of machine learning (ML) in additive
manufacturing (AM) have been presented and the classification of the most common ML …
manufacturing (AM) have been presented and the classification of the most common ML …
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 …
A novel chaotic Runge Kutta optimization algorithm for solving constrained engineering problems
This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …
Comparision of the political optimization algorithm, the Archimedes optimization algorithm and the Levy flight algorithm for design optimization in industry
This article focuses on minimizing product costs by using the newly developed political
optimization algorithm (POA), the Archimedes 'optimization algorithm (AOA), and the Levy …
optimization algorithm (POA), the Archimedes 'optimization algorithm (AOA), and the Levy …
Conceptual comparison of the ecogeography-based algorithm, equilibrium algorithm, marine predators algorithm and slime mold algorithm for optimal product design
Vehicle component design is crucial for developing a vehicle prototype, as optimum parts
can lead to cost reduction and performance enhancement of the vehicle system. The use of …
can lead to cost reduction and performance enhancement of the vehicle system. The use of …
A comparative study of recent multi-objective metaheuristics for solving constrained truss optimisation problems
Multi-objective truss optimisation is a research topic that has been less investigated in the
literature compared to the single-objective cases. This paper investigates the comparative …
literature compared to the single-objective cases. This paper investigates the comparative …
A new Hybrid Taguchi-salp swarm optimization algorithm for the robust design of real-world engineering problems
AR Yıldız, MU Erdaş - Materials Testing, 2021 - degruyter.com
In this paper, a new hybrid Taguchi salp swarm algorithm (HTSSA) has been developed to
speed up the optimization processes of structural design problems in industry and to …
speed up the optimization processes of structural design problems in industry and to …
A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems
In this paper, a novel hybrid optimization algorithm (H-HHONM) which combines the Nelder-
Mead local search algorithm with the Harris hawks optimization algorithm is proposed for …
Mead local search algorithm with the Harris hawks optimization algorithm is proposed for …
Optimal truss design with MOHO: A multi-objective optimization perspective
This research article presents the Multi-Objective Hippopotamus Optimizer (MOHO), a
unique approach that excels in tackling complex structural optimization problems. The …
unique approach that excels in tackling complex structural optimization problems. The …