{ "item_title" : "Numerical and Evolutionary Optimization 2021", "item_author" : [" Marcela Quiroz", "Luis Gerardo de la Fraga", "Adriana Lara "], "item_description" : "This reprint was established after the 9th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/657/904/3036579044_b.jpg", "price_data" : { "retail_price" : "73.14", "online_price" : "73.14", "our_price" : "73.14", "club_price" : "73.14", "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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