Welcome to the Library Catalog of "Dunarea de Jos" University of Galati

Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control [electronic resource] : Volume 1 / by Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail.

By: Contributor(s): Material type: TextSeries: Emergence, Complexity and Computation ; 50Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XX, 312 p. 153 illus., 15 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031740138
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • Q342
Online resources:
Contents:
Algorithm initialization categories and assessment -- Fundamental Tradeoffs between exploration and exploitation search mechanisms -- Distributions and Functions Driven.
In: Springer Nature eBookSummary: This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the vital balance between exploration and exploitation search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes crucial for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages, offering a comprehensive discussion of various approaches supported by extensive literature.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Algorithm initialization categories and assessment -- Fundamental Tradeoffs between exploration and exploitation search mechanisms -- Distributions and Functions Driven.

This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the vital balance between exploration and exploitation search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes crucial for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages, offering a comprehensive discussion of various approaches supported by extensive literature.

There are no comments on this title.

to post a comment.
Biblioteca Universității "Dunărea de Jos" din Galați