Design of fractional order PID controller for automatic regulator voltage system based on multi-objective extremal optimization
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 …
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
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 …
self-organized criticality, extremal optimization (EO) has been successfully applied to a …
Binary-coded extremal optimization for the design of PID controllers
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 …
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 …
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 …
self-organized criticality, extremal optimization (EO) has been successfully applied to a …
Design of multivariable PID controllers using real-coded population-based extremal optimization
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 …
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 …
(EO), we propose a modified framework called EOSAT to approximate ground states of the …
Extremal optimization: Fundamentals, algorithms, and applications
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 …
facing in social, environment, bioinformatics, traffic, and industrial systems, the development …
An backbone guided extremal optimization method for solving the hard maximum satisfiability problem
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 …
been successfully applied to a variety of NP-hard optimization problems. However, almost …
More efficient two-mode stochastic local search for random 3-satisfiability
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 …
satisfiability problem (SAT). Most SLS solvers for SAT switch between two modes, ie, the …
[PDF][PDF] Author's Accepted Manuscript
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 …
during their tenure. Earnings overstatement is greater in the early years than in the later …