Title
Hybrid Genetic Algorithms for Optimization: Design and Applications,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 3–5 business days
- Estimated Delivery: 6–10 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
In this book, a Genetic Algorithm (GA) is hybridized with the local search called Quadratic Approximation (QA) that helps in finding the minima of a quadratic surface passing through three different arbitrary points in the search space. The designed hybrid GA is proposed to solve both unconstrained and unconstrained optimization problems. Initially, a qualitative combination of GA operators is being investigated to solve unconstrained optimization problems and is testified through some typical unconstrained benchmark functions. The proposed algorithm is used to solve some real world problems those are free of constraints. Later, the unconstrained algorithm is developed to handle constraints and its efficiency and efficacy is verified through some constrained typical benchmark function. Further, it is applied to some constrained real world problems. Towards the end, an efficient retrievable GA is proposed to solve to the Japanese number game called "Sudoku Puzzle" with a higher success rate.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.