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£129 today · previous high £129 · all-time low £122

Springer Benchmarks and Hybrid Algorithms in Optimization - Springer

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£128.57 £121.87 £123.33 £124.79 £126.26 £127.72 £129.18 27 July 2026 12 August 2026 29 August 2026 15 September 2026 02 October 2026
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Description

This Springer Tracts volume explores the intersection of benchmarking methodologies and hybrid algorithmic approaches in optimization and real-world applications. Designed for researchers, practitioners, and advanced students in computer science and artificial intelligence, the book provides comprehensive coverage of nature-inspired computing techniques combined with hybrid strategies to solve complex optimization problems. The work bridges theoretical foundations with practical implementation, offering detailed examinations of performance evaluation frameworks, algorithm comparison benchmarks, and case studies demonstrating effective hybrid approaches across diverse application domains. Whether you are developing optimization solutions, evaluating algorithmic performance, or seeking to understand the latest advances in nature-inspired methods, this authoritative resource delivers both foundational knowledge and cutting-edge insights essential for modern computational science and machine learning.

Key Features

Comprehensive guide to benchmarking methodologies and performance evaluation frameworks for optimization algorithms.

Detailed exploration of hybrid algorithm design combining nature-inspired approaches with conventional optimization techniques.

Part of the Springer Tracts in Nature-Inspired Computing series, providing research-level content for academic and professional audiences.

Covers practical applications across multiple domains where hybrid and optimization methods deliver measurable results.

Combines theoretical principles with implementation strategies suitable for computer science researchers and practitioners.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 August 2024
Listed Since
25 August 2024

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