Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Cont

Name: Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Cont
Brand: Springer Nature
SKU: 9783031740121
Availability: InStock

Best Price (Coupon Required):
Buy Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Cont for $144.00 at @ Link.springer.com when you apply the 10% OFF coupon at checkout.
Click “Get Coupon & Buy” to copy the code and unlock the deal.

Set a price drop alert to never miss an offer.

1 Offer Price Range: $159.99 - $159.99

BEST PRICE

Single Product Purchase

$144.00

@ Link.springer.com with extra coupon

Price Comparison

Seller	Contact Seller	List Price	On Sale	Shipping	Best Promo	Final Price	Volume Discount	Financing	Availability	Seller's Page
BEST PRICE 1 Product Purchase @ Link.springer.com		$159.99	$159.99		10% OFF This deals requires coupon	$144.00		See Site	In stock	Visit Store

Product Details

Brand

Springer Nature

Manufacturer

N/A

Part Number

GTIN

9783031740121

Condition

New

Product Description

This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the crucial balance between exploration and exploitation in search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes essential for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages and processes, offering a comprehensive discussion of various approaches supported by extensive literature. The authors note a scarcity of literature addressing the trade-offs between exploration and exploitation with contemporary references, making this work particularly valuable. It aims to deepen the reader's understanding of evolutionary computing, emphasizing exploration, exploitation, and parameter control. It is relevant not only to algorithm developers and the evolutionary computation community but also to students and researchers across scientific disciplines. The book is designed to be accessible to those without extensive algorithm development backgrounds, providing theoretical and practical insights into optimization methods.

Available Colors

N/A

Available Sizes

N/A