Improved Wolf Pack Algorithm for Optimum Design of Truss Structures
نویسندگان
چکیده
منابع مشابه
IMPROVED BAT ALGORITHM FOR OPTIMUM DESIGN OF LARGE-SCALE TRUSS STRUCTURES
Deterring the optimum design of large-scale structures is a difficult task. Great number of design variables, largeness of the search space and controlling great number of design constraints are major preventive factors in performing optimum design of large-scale truss structures in a reasonable time. Meta-heuristic algorithms are known as one of the useful tools to d...
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Nature-inspired search algorithms have proved to be successful in solving real-world optimization problems. Firefly algorithm is a novel meta-heuristic algorithm which simulates the natural behavior of fireflies. In the present study, optimum design of truss structures with both sizing and geometry design variables is carried out using the firefly algorithm. Additionally, to improve the efficie...
متن کاملImproved Bat Algorithm for Optimum Design of Large-scale Truss Structures
Deterring the optimum design of large-scale structures is a difficult task. Great number of design variables, largeness of the search space and controlling great number of design constraints are major preventive factors in performing optimum design of large-scale truss structures in a reasonable time. Meta-heuristic algorithms are known as one of the useful tools to deal with these problems. Th...
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The main objective of structural engineers through out design history has been to obtain the optimum structure under the prescribed design conditions which can not only withstand external loads safely but also achieve an economic solution. The paper focuses on the use of the fuzzy set theory to optimum design of plane truss structures. The approach is illustrated on planar truss optimization pr...
متن کاملOptimum Design of Truss Structures using Neural Network
The purpose of this paper is to verify the applicability of the prototype of the Neural Network base model for Optimum Structural Design(NNOSD) to search the optimum design in all cases immediately. NNOSD suggest the procedure of the optimum design and the proper values of the neural network variables(training pattern, number of hidden neurons, maximum training error, steepness coefficient, lea...
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ژورنال
عنوان ژورنال: Civil Engineering Journal
سال: 2020
ISSN: 2476-3055,2676-6957
DOI: 10.28991/cej-2020-03091557