most citedBeetle Antennae Search without Parameter Tuning (BAS-WPT) for Multi-objective Optimization

49 citations · 129 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2018★ 19 cited

Model-Free Optimization Using Eagle Perching Optimizer

Ameer Tamoor Khan, Shuai Li Senior, Predrag S. Stanimirovic +1

The paper proposes a novel nature-inspired technique of optimization. It mimics the perching nature of eagles and uses mathematical formulations to introduce a new addition to meta…

cs.NE2017★ 49 cited

Beetle Antennae Search without Parameter Tuning (BAS-WPT) for Multi-objective Optimization

Xiangyuan Jiang, Shuai Li

Beetle antennae search (BAS) is an efficient meta-heuristic algorithm inspired by foraging behaviors of beetles. This algorithm includes several parameters for tuning and the exist…

cs.NE2017★ 48 cited

BAS: Beetle Antennae Search Algorithm for Optimization Problems

Xiangyuan Jiang, Shuai Li

Meta-heuristic algorithms have become very popular because of powerful performance on the optimization problem. A new algorithm called beetle antennae search algorithm (BAS) is pro…

cs.NE2017★ 3 cited

Porcellio scaber algorithm (PSA) for solving constrained optimization problems

Yinyan Zhang, Shuai Li, Hongliang Guo

In this paper, we extend a bio-inspired algorithm called the porcellio scaber algorithm (PSA) to solve constrained optimization problems, including a constrained mixed discrete-con…

cs.NE2017★ 10 cited

PSA: A novel optimization algorithm based on survival rules of porcellio scaber

Yinyan Zhang, Pei Zhang, Shuai Li

Bio-inspired algorithms such as neural network algorithms and genetic algorithms have received a significant amount of attention in both academic and engineering societies. In this…