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{ "item_title" : "Bio-Inspired Algorithms", "item_author" : [" Sándor Szénási", "Gábor Kertész "], "item_description" : "The goal for this Special Issue on Bio-Inspired Algorithms was to seek original research papers about novel bio-inspired methods, analysis of already-existing techniques, or high-level practical applications from the field of computer science or any interdisciplinary field. We accepted manuscripts discussing evolutional (Genetic Algorithms, NSGA, etc.), swarm-intelligence-based (Particle Swarm Optimization, Ant Colony Optimization, Fireworks Algorithm, etc.), or brain-inspired computing (Neural Networks, Deep Learning, etc.) methods applied in any kind of research project (image processing, natural language processing, general optimization, physical simulations, etc.).", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/72/584/373/3725843732_b.jpg", "price_data" : { "retail_price" : "96.85", "online_price" : "96.85", "our_price" : "96.85", "club_price" : "96.85", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Bio-Inspired Algorithms|Sándor Szénási

Bio-Inspired Algorithms

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Overview

The goal for this Special Issue on "Bio-Inspired Algorithms" was to seek original research papers about novel bio-inspired methods, analysis of already-existing techniques, or high-level practical applications from the field of computer science or any interdisciplinary field. We accepted manuscripts discussing evolutional (Genetic Algorithms, NSGA, etc.), swarm-intelligence-based (Particle Swarm Optimization, Ant Colony Optimization, Fireworks Algorithm, etc.), or brain-inspired computing (Neural Networks, Deep Learning, etc.) methods applied in any kind of research project (image processing, natural language processing, general optimization, physical simulations, etc.).

Details

  • ISBN-13: 9783725843732
  • ISBN-10: 3725843732
  • Publisher: Mdpi AG
  • Publish Date: June 2025
  • Dimensions: 9.61 x 6.69 x 0.81 inches
  • Shipping Weight: 1.74 pounds
  • Page Count: 266

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