Cooperative co-evolution with differential grouping for large scale optimization

MN Omidvar, X Li, Y Mei, X Yao - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Cooperative co-evolution has been introduced into evolutionary algorithms with the aim of
solving increasingly complex optimization problems through a divide-and-conquer …

[图书][B] Numerical methods for unconstrained optimization and nonlinear equations

JE Dennis Jr, RB Schnabel - 1996 - SIAM
We are delighted that SIAM is republishing our original 1983 book after what many in the
optimization field have regarded as “premature termination” by the previous publisher. At 12 …

[图书][B] Numerical optimization

J Nocedal, SJ Wright - 1999 - Springer
One of the most effective methods for nonlinearly constrained optimization generates steps
by solving quadratic subproblems. This sequential quadratic programming (SQP) approach …

On the limited memory BFGS method for large scale optimization

DC Liu, J Nocedal - Mathematical programming, 1989 - Springer
We study the numerical performance of a limited memory quasi-Newton method for large
scale optimization, which we call the L-BFGS method. We compare its performance with that …

[PDF][PDF] Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization

X Li, K Tang, MN Omidvar, Z Yang, K Qin, H China - gene, 2013 - al-roomi.org
This report proposes 15 large-scale benchmark problems as an extension to the existing
CEC'2010 large-scale global optimization benchmark suite. The aim is to better represent a …

[图书][B] Iterative methods for linear and nonlinear equations

CT Kelley - 1995 - SIAM
This book on iterative methods for linear and nonlinear equations can be used as a tutorial
and a reference by anyone who needs to solve nonlinear systems of equations or large …

[图书][B] Iterative methods for optimization

CT Kelley - 1999 - SIAM
This book on unconstrained and bound constrained optimization can be used as a tutorial
for self-study or a reference by those who solve such problems in their work. It can also …

[PDF][PDF] Numerical optimization

SJ Wright - 2006 - shuyuej.com
This is a book for people interested in solving optimization problems. Because of the wide
(and growing) use of optimization in science, engineering, economics, and industry, it is …

Chapter IA view of unconstrained optimization

JE Dennis Jr, RB Schnabel - Handbooks in operations research and …, 1989 - Elsevier
Publisher Summary This chapter discusses the most basic nonlinear optimization problem in
continuous variables, the unconstrained optimization problem. The basic methods for …

[PDF][PDF] Benchmark functions for the CEC'2010 special session and competition on large-scale global optimization

K Tang, X Li, PN Suganthan, Z Yang… - … laboratory, USTC, China, 2007 - researchgate.net
In the past decades, different kinds of metaheuristic optimization algorithms [1, 2] have been
developed; Simulated Annealing (SA)[3, 4], Evolutionary Algorithms (EAs)[5–7], Differential …