Evolutionary computation and structural design: A survey of the state-of-the-art
R Kicinger, T Arciszewski, K De Jong - Computers & structures, 2005 - Elsevier
Evolutionary computation is emerging as a new engineering computational paradigm, which
may significantly change the present structural design practice. For this reason, an extensive …
may significantly change the present structural design practice. For this reason, an extensive …
Mathematical and metaheuristic applications in design optimization of steel frame structures: an extensive review
The type of mathematical modeling selected for the optimum design problems of steel
skeletal frames affects the size and mathematical complexity of the programming problem …
skeletal frames affects the size and mathematical complexity of the programming problem …
A new movement strategy of grey wolf optimizer for optimization problems and structural damage identification
In this paper, an improved Grey Wolf Optimizer (GWO) algorithm, termed LGWO, is
introduced. The enhanced version is interesting and complementary in terms of the direction …
introduced. The enhanced version is interesting and complementary in terms of the direction …
A new structural optimization method based on the harmony search algorithm
KS Lee, ZW Geem - Computers & structures, 2004 - Elsevier
Most structural optimization methods are based on mathematical algorithms that require
substantial gradient information. The selection of the starting values is also important to …
substantial gradient information. The selection of the starting values is also important to …
[KSIĄŻKA][B] Computational optimization, methods and algorithms
Computational optimization is an important paradigm with a wide range of applications. In
virtually all branches of engineering and industry, we almost always try to optimize …
virtually all branches of engineering and industry, we almost always try to optimize …
[KSIĄŻKA][B] The practical handbook of genetic algorithms: applications
LD Chambers - 2000 - taylorfrancis.com
Rapid developments in the field of genetic algorithms along with the popularity of the first
edition precipitated this completely revised, thoroughly updated second edition of The …
edition precipitated this completely revised, thoroughly updated second edition of The …
Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures
A heuristic particle swarm ant colony optimization (HPSACO) is presented for optimum
design of trusses. The algorithm is based on the particle swarm optimizer with passive …
design of trusses. The algorithm is based on the particle swarm optimizer with passive …
An improved ant colony optimization for constrained engineering design problems
Purpose–The computational drawbacks of existing numerical methods have forced
researchers to rely on heuristic algorithms. Heuristic methods are powerful in obtaining the …
researchers to rely on heuristic algorithms. Heuristic methods are powerful in obtaining the …
Size optimization of space trusses using Big Bang–Big Crunch algorithm
A Hybrid Big Bang–Big Crunch (HBB–BC) optimization algorithm is employed for optimal
design of truss structures. HBB–BC is compared to Big Bang–Big Crunch (BB–BC) method …
design of truss structures. HBB–BC is compared to Big Bang–Big Crunch (BB–BC) method …
A design optimization tool based on a genetic algorithm
Much interest has been recently devoted to generative processes in design. Advances in
computational tools for design applications, coupled with techniques from the field of …
computational tools for design applications, coupled with techniques from the field of …