Symbiotic organisms search algorithm: theory, recent advances and applications
The symbiotic organisms search algorithm is a very promising recent metaheuristic
algorithm. It has received a plethora of attention from all areas of numerical optimization …
algorithm. It has received a plethora of attention from all areas of numerical optimization …
Topology and shape optimization methods using evolutionary algorithms: a review
Topology optimization has evolved rapidly since the late 1980s. The optimization of the
geometry and topology of structures has a great impact on its performance, and the last two …
geometry and topology of structures has a great impact on its performance, and the last two …
A hybrid self-adaptive sine cosine algorithm with opposition based learning
Real-world optimization problems demand an efficient meta-heuristic algorithm which
maintains the diversity of solutions and properly exploits the search space of the problem to …
maintains the diversity of solutions and properly exploits the search space of the problem to …
[LIVRE][B] Advances in metaheuristic algorithms for optimal design of structures
A Kaveh - 2014 - Springer
Recent advances in structural technology require greater accuracy, efficiency and speed in
design of structural systems. It is therefore not surprising that new methods have been …
design of structural systems. It is therefore not surprising that new methods have been …
Adaptive symbiotic organisms search (SOS) algorithm for structural design optimization
The symbiotic organisms search (SOS) algorithm is an effective metaheuristic developed in
2014, which mimics the symbiotic relationship among the living beings, such as mutualism …
2014, which mimics the symbiotic relationship among the living beings, such as mutualism …
An adaptive hybrid evolutionary firefly algorithm for shape and size optimization of truss structures with frequency constraints
This paper presents a novel adaptive hybrid evolutionary firefly algorithm (AHEFA) for shape
and size optimization of truss structures under multiple frequency constraints. This algorithm …
and size optimization of truss structures under multiple frequency constraints. This algorithm …
A hybrid intelligent genetic algorithm for truss optimization based on deep neutral network
J Liu, Y **a - Swarm and Evolutionary Computation, 2022 - Elsevier
The truss optimization problem has been extensively investigated, and the optimized trusses
have been widely used in various fields. Truss optimization is a challenging optimization …
have been widely used in various fields. Truss optimization is a challenging optimization …
Truss optimization with natural frequency bounds using improved symbiotic organisms search
Many engineering structures are subjected to dynamic excitation, which may lead to
undesirable vibrations. The multiple natural frequency bounds in truss optimization …
undesirable vibrations. The multiple natural frequency bounds in truss optimization …
Truss optimization with dynamic constraints using a particle swarm algorithm
HM Gomes - Expert Systems with Applications, 2011 - Elsevier
In this paper, a structural truss mass optimization on size and shape is performed taking into
account frequency constraints. It is well-known that structural optimizations on shape and …
account frequency constraints. It is well-known that structural optimizations on shape and …
Search group algorithm: a new metaheuristic method for the optimization of truss structures
MS Gonçalves, RH Lopez, LFF Miguel - Computers & Structures, 2015 - Elsevier
This paper presents a new metaheuristic optimization method, the Search Group Algorithm
(SGA), to deal with the optimization of truss structures. The effectiveness of the SGA is …
(SGA), to deal with the optimization of truss structures. The effectiveness of the SGA is …