Pages that link to "Item:Q4871663"

The following pages link to Genetic algorithms as an approach to optimize real-world trusses (Q4871663):

Displaying 17 items.

• Truss topology optimization for mass and reliability considerations -- co-evolutionary multiobjective formulations (Q381752) (← links)
• On simultaneous optimization of truss geometry and topology (Q445503) (← links)
• Genetic algorithms in truss topological optimization (Q675644) (← links)
• Game theory based evolutionary algorithms: a review with Nash applications in structural engineering optimization problems (Q724768) (← links)
• Cost optimization of composite beams using genetic algorithms (Q730970) (← links)
• Genetic algorithms for optimized re-triangulation in the context of reverse engineering. (Q1401746) (← links)
• Optimization of 2D boundary element models using \(\beta\)-splines and genetic algorithms (Q1582625) (← links)
• Weight minimisation of displacement-constrained truss structures using a strain energy criterion (Q1600765) (← links)
• Hybridizing gravitational search algorithm with real coded genetic algorithms for structural engineering design problem (Q1788852) (← links)
• Single and multiobjective frame optimization by evolutionary algorithms and the auto-adaptive rebirth operator (Q2484845) (← links)
• Size/geometry optimization of trusses by the force method and genetic algorithm (Q3043999) (← links)
• A hybrid ant strategy and genetic algorithm to tune the population size for efficient structural optimization (Q3055835) (← links)
• Solving structural optimization problems with genetic algorithms and simulated annealing (Q4267037) (← links)
• GENERATING OPTIMAL CONFIGURATIONS IN STRUCTURAL DESIGN USING SIMULATED ANNEALING (Q4359837) (← links)
• Optimization of trusses using genetic algorithms for discrete and continuous variables (Q4700983) (← links)
• Layout optimization of trusses using improved GA methodologies (Q5932291) (← links)
• Design of truss structures for minimum weight using genetic algorithms (Q5941218) (← links)