Design of fractional order PID controller for automatic regulator voltage system based on multi-objective extremal optimization

GQ Zeng, J Chen, YX Dai, LM Li, CW Zheng, MR Chen - Neurocomputing, 2015 - Elsevier
Abstract Design of an effective and efficient fractional order PID (FOPID) controller, as a
generalization of a standard PID controller based on fractional order calculus, for an …

An improved multi-objective population-based extremal optimization algorithm with polynomial mutation

GQ Zeng, J Chen, LM Li, MR Chen, L Wu, YX Dai… - Information …, 2016 - Elsevier
As a recently developed evolutionary algorithm inspired by far-from-equilibrium dynamics of
self-organized criticality, extremal optimization (EO) has been successfully applied to a …

Binary-coded extremal optimization for the design of PID controllers

GQ Zeng, KD Lu, YX Dai, ZJ Zhang, MR Chen… - Neurocomputing, 2014 - Elsevier
Abstract Design of an effective and efficient PID controller to obtain high-quality
performances such as high stability and satisfied transient response is of great theoretical …

A novel real-coded population-based extremal optimization algorithm with polynomial mutation: A non-parametric statistical study on continuous optimization …

LM Li, KD Lu, GQ Zeng, L Wu, MR Chen - Neurocomputing, 2016 - Elsevier
As a recently developed optimization method inspired by far-from-equilibrium dynamics of
self-organized criticality, extremal optimization (EO) has been successfully applied to a …

Design of multivariable PID controllers using real-coded population-based extremal optimization

GQ Zeng, J Chen, MR Chen, YX Dai, LM Li, KD Lu… - Neurocomputing, 2015 - Elsevier
The issue of designing and tuning an effective and efficient multivariable PID controller for a
multivariable control system to obtain high-quality performance is of great theoretical …

Modified extremal optimization for the hard maximum satisfiability problem

G Zeng, Y Lu, WJ Mao - Journal of Zhejiang University SCIENCE C, 2011 - Springer
Based on our recent study on probability distributions for evolution in extremal optimization
(EO), we propose a modified framework called EOSAT to approximate ground states of the …

Extremal optimization: Fundamentals, algorithms, and applications

YZ Lu, YW Chen, MR Chen, P Chen… - Journal of Process …, 2016 - api.taylorfrancis.com
With the high demand and the critical situation of solving hard optimization problems we are
facing in social, environment, bioinformatics, traffic, and industrial systems, the development …

An backbone guided extremal optimization method for solving the hard maximum satisfiability problem

G Zeng, C Zheng, Z Zhang, Y Lu - 2012 International Conference …, 2012 - atlantis-press.com
Abstract The original Extremal Optimization (EO) algorithm and its modified versions have
been successfully applied to a variety of NP-hard optimization problems. However, almost …

More efficient two-mode stochastic local search for random 3-satisfiability

C Luo, K Su, S Cai - Applied intelligence, 2014 - Springer
Stochastic local search (SLS) is a popular paradigm in incomplete solving for the Boolean
satisfiability problem (SAT). Most SLS solvers for SAT switch between two modes, ie, the …

[PDF][PDF] Author's Accepted Manuscript

J Li, X Zhang, JA Kammer, MC Liang, R Shia, YL Yung - 2014 - academia.edu
This study examines changes in CEOs' incentive to manage their firms' reported earnings
during their tenure. Earnings overstatement is greater in the early years than in the later …