Contemporary Advancement in Evolutionary Multi-Objective Optimization

Hardback Published on: 02/08/2026
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Synopsis

This endeavour presents a rich collection of contemporary advances in evolutionary multi-objective optimisation algorithms, blending foundational concepts with state-of-the-art research and real-world applications. Featuring contributions from leading experts, it offers clear insights into modern EMO methodologies, emerging AI-EC integrations, and diverse problem-solving domains. An essential reference for researchers, practitioners, and students exploring intelligent optimisation Algorithms.

Publisher information

  • Publisher: Springer Nature Singapore
  • ISBN: 9789819579075
  • Number of pages: 224
  • Dimensions: 235 x 155 mm
  • Languages: English