A finite-time particle swarm optimization algorithm for odor source localization

DOI10.1016/j.ins.2014.02.010zbMath1354.90184OpenAlexW2064460517MaRDI QIDQ506107

Shirong Liu, Qing-Long Han, Qiang Lu

Publication date: 31 January 2017

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.02.010

zbMATH Keywords

finite-time convergenceparticle swarm optimizationmulti-robot systemodor source localization

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• JStatCom
• KEEL

Cites Work

• Multiple sequence alignment using the hidden Markov model trained by an improved quantum-behaved particle swarm optimization
• Finite-time convergent gradient flows with applications to network consensus
• A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization
• Finite-time formation control for multi-agent systems
• A piecewise linear chaotic map and sequential quadratic programming based robust hybrid particle swarm optimization
• Continuous finite-time stabilization of the translational and rotational double integrators
• Finite-Time Stability of Continuous Autonomous Systems
• General Framework for Mobile Robot Navigation Using Passivity-Based MPC

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