{ "item_title" : "Multi-Objective Optimization of Mixed-Variable", "item_author" : [" Todd J. Paciencia "], "item_description" : "Two new algorithms are presented for multi-objective optimization of mixed-variable, stochastic systems. Both are based off of prior algorithms, but combine those pre-exsting algorithms with several other methods, to include single-objective formulations, surrogates, n-dimensional visualizations, aspiration an reservation levels, and direct search methods. Results are shown for a test set of 13 problems, ranging from 2 to 8 objectives, and including non-convex, mixed-variable, and discontinuous problems.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/28/829/204/128829204X_b.jpg", "price_data" : { "retail_price" : "57.95", "online_price" : "57.95", "our_price" : "57.95", "club_price" : "57.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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