A novel stochastic fractal search algorithm with fitness-distance balance for global numerical optimization
Abstract Stochastic Fractal Search (SFS) is a new and original meta-heuristic search (MHS)
algorithm with strong foundations. As with many other MHS methods, there are problems in …
algorithm with strong foundations. As with many other MHS methods, there are problems in …
Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization
When solving constrained multiobjective optimization problems by evolutionary algorithm,
the key challenge is how to achieve the balance among convergence, diversity, and …
the key challenge is how to achieve the balance among convergence, diversity, and …
Parametric analysis and optimization of T-shaped and conventional deep cement mixing column-supported embankments
The aim of this article was to optimize the shape and modulus of T-shaped deep cement
mixing (TDM) and conventional deep cement mixing (DCM) columns for supporting …
mixing (TDM) and conventional deep cement mixing (DCM) columns for supporting …
The optimality of the standard genetic code assessed by an eight-objective evolutionary algorithm
M Wnętrzak, P Błażej, D Mackiewicz… - BMC Evolutionary …, 2018 - Springer
Background The standard genetic code (SGC) is a unique set of rules which assign amino
acids to codons. Similar amino acids tend to have similar codons indicating that the code …
acids to codons. Similar amino acids tend to have similar codons indicating that the code …
Optimization of the standard genetic code in terms of two mutation types: point mutations and frameshifts
The distinct structure and universality of the standard genetic code (SGC) have fascinated
the scientists ever since the first amino acid assignments were discovered. There are …
the scientists ever since the first amino acid assignments were discovered. There are …
[HTML][HTML] Advancing Metaverse's experience through optimization of players' decisions
The Metaverse, a virtual world enabling user interaction with digital environments and
assets, increasingly utilizes blockchain and Non-Fungible Tokens (NFTs) to represent …
assets, increasingly utilizes blockchain and Non-Fungible Tokens (NFTs) to represent …
[HTML][HTML] Toward super-clean bearing steel by a novel physical-data integrated design strategy
J Guan, G Liu, W Hu, H Liu, P Fu, Y Cao, DR Liu, D Li - Materials & Design, 2025 - Elsevier
The cleanliness of fabricated ingots is crucial for the quality and properties of bearing steel.
To address this issue, a physical-data integrated design strategy was developed to optimize …
To address this issue, a physical-data integrated design strategy was developed to optimize …
Balancing strategic contributions and financial returns: a project portfolio selection model under uncertainty
Y Guo, L Wang, S Li, Z Chen, Y Cheng - Soft Computing, 2018 - Springer
This paper constructs a project portfolio selection model from the strategic perspective. Two
goals are proposed for the portfolio to achieve, ie, strategic contributions and financial …
goals are proposed for the portfolio to achieve, ie, strategic contributions and financial …
Self‐adaptive brainstorming for jobshop scheduling in multicloud environment
Cloud computing is a popular platform for processing the tasks by utilizing Virtual Machines
as executing elements. The problems such as utilization and makespan persist in task …
as executing elements. The problems such as utilization and makespan persist in task …
Improving flood forecasting through feature selection by a genetic algorithm–experiments based on real data from an amazon rainforest river
This paper addresses the problem of feature selection aiming to improve a flood forecasting
model. The proposed model is carried out through a case study that uses 18 different time …
model. The proposed model is carried out through a case study that uses 18 different time …