AN IMPROVED VERSION OF INVERSE DISTANCE WEIGHTING METAMODEL ASSISTED HARMONY SEARCH ALGORITHM FOR TRUSS DESIGN OPTIMIZATION
Keywords:
SURROGATE-BASED OPTIMIZATION, METAMODELING, HARMONY SEARCH ALGORITHM, INVERSE DISTANCE WEIGHTING MODELAbstract
THIS PAPER FOCUSES ON A METAMODEL-BASED DESIGN OPTIMIZATION ALGORITHM. THE INTENTION IS TO IMPROVE ITS COMPUTATIONAL COST AND CONVERGENCE RATE. METAMODEL-BASED OPTIMIZATION METHOD INTRODUCED HERE, PROVIDES THE NECESSARY MEANS TO REDUCE THE COMPUTATIONAL COST AND CONVERGENCE RATE OF THE OPTIMIZATION THROUGH A SURROGATE. THIS ALGORITHM IS A COMBINATION OF A HIGH QUALITY APPROXIMATION TECHNIQUE CALLED INVERSE DISTANCE WEIGHTING AND A META-HEURISTIC ALGORITHM CALLED HARMONY SEARCH. THE OUTCOME IS THEN POLISHED BY A SEMI-TABU SEARCH ALGORITHM. THIS ALGORITHM ADOPTS A FILTERING SYSTEM AND DETERMINES SOLUTION VECTORS WHERE EXACT SIMULATION SHOULD BE APPLIED. THE  PERFORMANCE OF THE ALGORITHM IS EVALUATED BY STANDARD TRUSS DESIGN PROBLEMS AND THERE HAS BEEN A SIGNIFICANT DECREASE IN THE COMPUTATIONAL EFFORT AND IMPROVEMENT OF CONVERGENCE RATE.
 
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