Particle swarm optimization algorithm and its applications: a systematic review
AG Gad - Archives of computational methods in engineering, 2022 - Springer
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
Major advances in particle swarm optimization: theory, analysis, and application
EH Houssein, AG Gad, K Hussain… - Swarm and Evolutionary …, 2021 - Elsevier
Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
Chaotic vortex search algorithm: metaheuristic algorithm for feature selection
Abstract The Vortex Search Algorithm (VSA) is a meta-heuristic algorithm that has been
inspired by the vortex phenomenon proposed by Dogan and Olmez in 2015. Like other meta …
inspired by the vortex phenomenon proposed by Dogan and Olmez in 2015. Like other meta …
Cqffa: A chaotic quasi-oppositional farmland fertility algorithm for solving engineering optimization problems
FS Gharehchopogh, MH Nadimi-Shahraki… - Journal of Bionic …, 2023 - Springer
Abstract Farmland Fertility Algorithm (FFA) is a recent nature-inspired metaheuristic
algorithm for solving optimization problems. Nevertheless, FFA has some drawbacks: slow …
algorithm for solving optimization problems. Nevertheless, FFA has some drawbacks: slow …
A novel particle swarm optimization-based grey model for the prediction of warehouse performance
Warehouses constitute a key component of supply chain networks. An improvement to the
operational efficiency and the productivity of warehouses is crucial for supply chain …
operational efficiency and the productivity of warehouses is crucial for supply chain …
A modified particle swarm optimization using adaptive strategy
In expert systems, complex optimization problems are usually nonlinear, nonconvex,
multimodal and discontinuous. As an efficient and simple optimization algorithm, particle …
multimodal and discontinuous. As an efficient and simple optimization algorithm, particle …
A novel design of differential evolution for solving discrete traveling salesman problems
Differential evolution is one of the most powerful and popular evolutionary algorithms, which
is primarily used to solve continuous-based optimization problems. Although differential …
is primarily used to solve continuous-based optimization problems. Although differential …
Social learning discrete Particle Swarm Optimization based two-stage X-routing for IC design under Intelligent Edge Computing architecture
One of the core features of Intelligent Edge Computing (IEC) is real-time decision making,
therefore low delay is more important for IC design under IEC architecture. And in very large …
therefore low delay is more important for IC design under IEC architecture. And in very large …
A unified algorithm based on HTS and self-adapting PSO for the construction of octagonal and rectilinear SMT
The Steiner minimal tree (SMT) problem is an NP-hard problem, which is the best
connection model for a multi-terminal net in global routing problem. This paper presents a …
connection model for a multi-terminal net in global routing problem. This paper presents a …
Training feed-forward multi-layer perceptron artificial neural networks with a tree-seed algorithm
AC Cinar - Arabian Journal for Science and Engineering, 2020 - Springer
The artificial neural network (ANN) is the most popular research area in neural computing. A
multi-layer perceptron (MLP) is an ANN that has hidden layers. Feed-forward (FF) ANN is …
multi-layer perceptron (MLP) is an ANN that has hidden layers. Feed-forward (FF) ANN is …