A survey of adaptive large neighborhood search algorithms and applications
This article provides a survey on the highly popular metaheuristic framework, the adaptive
large neighborhood search (ALNS). The basic concepts of ALNS are discussed in this …
large neighborhood search (ALNS). The basic concepts of ALNS are discussed in this …
Efficient feature selection using weighted superposition attraction optimization algorithm
As the volume of data generated by information systems continues to increase, machine
learning (ML) techniques have become essential for the extraction of meaningful insights …
learning (ML) techniques have become essential for the extraction of meaningful insights …
A survey on sparrow search algorithms and their applications
J Xue, B Shen - International Journal of Systems Science, 2024 - Taylor & Francis
The sparrow search algorithm (SSA) is an efficient swarm-intelligence-based algorithm that
has made some significant advances since its introduction in 2020. A detailed overview of …
has made some significant advances since its introduction in 2020. A detailed overview of …
A novel decomposition-based multi-objective symbiotic organism search optimization algorithm
In this research, the effectiveness of a novel optimizer dubbed as decomposition-based multi-
objective symbiotic organism search (MOSOS/D) for multi-objective problems was explored …
objective symbiotic organism search (MOSOS/D) for multi-objective problems was explored …
A hybrid whale optimization algorithm for global optimization
Notwithstanding the superior performance of the Whale optimization algorithm (WOA) on a
wide range of optimization issues, the exploitation in WOA gets more preference during the …
wide range of optimization issues, the exploitation in WOA gets more preference during the …
Boosting k-means clustering with symbiotic organisms search for automatic clustering problems
AM Ikotun, AE Ezugwu - PLoS One, 2022 - journals.plos.org
Kmeans clustering algorithm is an iterative unsupervised learning algorithm that tries to
partition the given dataset into k pre-defined distinct non-overlapping clusters where each …
partition the given dataset into k pre-defined distinct non-overlapping clusters where each …
Discrete symbiotic organisms search method for solving large-scale time-cost trade-off problem in construction scheduling
Construction projects are becoming increasingly larger and more complex in terms of size
and cost. An optimization tool is necessary for the construction management system to …
and cost. An optimization tool is necessary for the construction management system to …
Power quality events recognition using enhanced empirical mode decomposition and optimized extreme learning machine
In this paper, a novel approach based on Empirical Mode Decomposition (EMD) and an
Extreme Learning Machine (ELM) for the detection and classification of Power Quality …
Extreme Learning Machine (ELM) for the detection and classification of Power Quality …
A FE model updating technique based on SAP2000-OAPI and enhanced SOS algorithm for damage assessment of full-scale structures
Although many existing damage diagnosis techniques based on the combination of
optimization algorithms and finite element model updating have been studied and …
optimization algorithms and finite element model updating have been studied and …
Improving efficiency and cost of ordering algorithms in pathfinding using shell layers
Optimal path planning is a fundamental problem in artificial intelligence (AI) and has wide
applications in areas such as robotics, transportation, and logistics. In this paper, we …
applications in areas such as robotics, transportation, and logistics. In this paper, we …