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 …
Optimization of truss structures using multi-objective cheetah optimizer
In this study, a multi-objective version of the recently proposed cheetah optimizer called
multi-objective cheetah optimizer (MOCO) has been proposed. MOCO draws inspiration …
multi-objective cheetah optimizer (MOCO) has been proposed. MOCO draws inspiration …
A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems
S Yin, Z **ang - Expert Systems with Applications, 2024 - Elsevier
This paper proposes a hyper-heuristic evolutionary algorithm via proximal policy
optimization, named HHEA-PPO, for solving multi-objective truss optimization problems …
optimization, named HHEA-PPO, for solving multi-objective truss optimization problems …
A hierarchical clustering algorithm for addressing multi-modal multi-objective optimization problems
Q Gu, Y Niu, Z Hui, Q Wang, N **ong - Expert Systems with Applications, 2025 - Elsevier
Many evolutionary multi-modal multi-objective algorithms (MMEAs) have been proposed to
solve multi-modal multi-objective optimization problems (MMOPs). Unfortunately, the …
solve multi-modal multi-objective optimization problems (MMOPs). Unfortunately, the …
An efficient algorithm for multi-objective structural optimization problems using an improved pbest-based differential evolution algorithm
Multi-objective optimization (MOO) for structural design is addressed. A new MOO algorithm,
named MOEA/D-EpDE, which combines the advantages of a recently developed pbest …
named MOEA/D-EpDE, which combines the advantages of a recently developed pbest …
Boosting aquila optimizer by marine predators algorithm for combinatorial optimization
In this study, an improved version of aquila optimizer (AO) known as EHAOMPA has been
developed by using the marine predators algorithm (MPA). MPA is a recent and well …
developed by using the marine predators algorithm (MPA). MPA is a recent and well …
A multi-objective ensemble learning framework for designing low-carbon ultra-high performance concrete (UHPC)
Y Zhang, M Yi, W Mei, Z Long, L Peng, G Long - Applied Soft Computing, 2025 - Elsevier
Ultra-high-performance concrete (UHPC) is an advanced cement-based material with
outstanding properties. The relationship between its composition and performance is highly …
outstanding properties. The relationship between its composition and performance is highly …
Application of the 2-archive multi-objective cuckoo search algorithm for structure optimization
The study suggests a better multi-objective optimization method called 2-Archive Multi-
Objective Cuckoo Search (MOCS2arc). It is then used to improve eight classical truss …
Objective Cuckoo Search (MOCS2arc). It is then used to improve eight classical truss …
Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization
The central challenge in Automatic Text Summarization (ATS) involves efficiently generating
machine-generated text summaries through optimization algorithms. An ATS is a critical …
machine-generated text summaries through optimization algorithms. An ATS is a critical …
[HTML][HTML] Research on Move-to-Escape Enhanced Dung Beetle Optimization and Its Applications
The dung beetle optimization (DBO) algorithm is acknowledged for its robust optimization
capabilities and rapid convergence as an efficient swarm intelligence optimization …
capabilities and rapid convergence as an efficient swarm intelligence optimization …