Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Design of truss-structures for minimum weight using genetic algorithms
Finite Elements in Analysis and Design
A heuristic particle swarm optimizer for optimization of pin connected structures
Computers and Structures
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Particle swarm approach for structural design optimization
Computers and Structures
Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem
Applied Soft Computing
Engineering optimizations via nature-inspired virtual bee algorithms
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Finite Elements in Analysis and Design
Identification of structural models using a modified Artificial Bee Colony algorithm
Computers and Structures
Sizing truss structures using teaching-learning-based optimization
Computers and Structures
Artificial bee colony algorithm and pattern search hybridized for global optimization
Applied Soft Computing
A new hybrid artificial bee colony algorithm for robust optimal design and manufacturing
Applied Soft Computing
A survey of non-gradient optimization methods in structural engineering
Advances in Engineering Software
Advances in Artificial Intelligence
Fully Stressed Design Evolution Strategy for Shape and Size Optimization of Truss Structures
Computers and Structures
Artificial bee colony algorithm: a survey
International Journal of Advanced Intelligence Paradigms
Structural and Multidisciplinary Optimization
International Journal of Metaheuristics
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The main goal of the structural optimization is to minimize the weight of structures while satisfying all design requirements imposed by design codes. In this paper, the Artificial Bee Colony algorithm with an adaptive penalty function approach (ABC-AP) is proposed to minimize the weight of truss structures. The ABC algorithm is swarm intelligence based optimization technique inspired by the intelligent foraging behavior of honeybees. Five truss examples with fixed-geometry and up to 200 elements were studied to verify that the ABC algorithm is an effective optimization algorithm in the creation of an optimal design for truss structures. The results of the ABC-AP compared with results of other optimization algorithms from the literature show that this algorithm is a powerful search and optimization technique for structural design.