Ant algorithms for discrete optimization
Artificial Life
Swarm intelligence
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
A heuristic particle swarm optimizer for optimization of pin connected structures
Computers and Structures
Size optimization of space trusses using Big Bang-Big Crunch algorithm
Computers and Structures
Advances in Engineering Software
Optimum design of skeletal structures using imperialist competitive algorithm
Computers and Structures
A binary particle swarm optimization for continuum structural topology optimization
Applied Soft Computing
Expert Systems with Applications: An International Journal
Geometry and topology optimization of geodesic domes using charged system search
Structural and Multidisciplinary Optimization
Structural and Multidisciplinary Optimization
The variants of the harmony search algorithm: an overview
Artificial Intelligence Review
Soil-structure interaction: Parameters identification using particle swarm optimization
Computers and Structures
Self-adaptive learning based particle swarm optimization
Information Sciences: an International Journal
Optimal design of truss-structures using particle swarm optimization
Computers and Structures
Charged system search for optimal design of frame structures
Applied Soft Computing
Discrete cost optimization of composite floor system using social harmony search model
Applied Soft Computing
Improved harmony search algorithms for sizing optimization of truss structures
Computers and Structures
Information and Software Technology
Hybrid population-based incremental learning using real codes
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
Nurse rostering using modified harmony search algorithm
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part II
A modified harmony search threshold accepting hybrid optimization algorithm
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
Circle Detection by Harmony Search Optimization
Journal of Intelligent and Robotic Systems
Mine blast algorithm for optimization of truss structures with discrete variables
Computers and Structures
A new meta-heuristic method: Ray Optimization
Computers and Structures
Information Sciences: an International Journal
Ray optimization for size and shape optimization of truss structures
Computers and Structures
Sizing truss structures using teaching-learning-based optimization
Computers and Structures
Topology optimization of trusses considering static and dynamic constraints using the CSS
Applied Soft Computing
Sensor deployment for fault diagnosis using a new discrete optimization algorithm
Applied Soft Computing
Gases Brownian Motion Optimization: an Algorithm for Optimization (GBMO)
Applied Soft Computing
A survey of non-gradient optimization methods in structural engineering
Advances in Engineering Software
A new optimization method: Dolphin echolocation
Advances in Engineering Software
Fully Stressed Design Evolution Strategy for Shape and Size Optimization of Truss Structures
Computers and Structures
Survey A survey on applications of the harmony search algorithm
Engineering Applications of Artificial Intelligence
Krill herd algorithm for optimum design of truss structures
International Journal of Bio-Inspired Computation
Chaotic swarming of particles: A new method for size optimization of truss structures
Advances in Engineering Software
Democratic PSO for truss layout and size optimization with frequency constraints
Computers and Structures
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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 congregation (PSOPC), ant colony optimization and harmony search scheme. HPSACO applies PSOPC for global optimization and the ant colony approach is used to update positions of particles to attain the feasible solution space. HPSACO handles the problem-specific constraints using a fly-back mechanism, and harmony search scheme deals with variable constraints. Results demonstrate the efficiency and robustness of HPSACO, which performs better than the other PSO-based algorithms having higher converges rate than PSO and PSOPC.