Title
Project scheduling, a heuristic approach: AN ADAPTIVE PSO AND GA FOR MULTIMODE RESOURCECONSTRAINED PROJECT SCHEDULING PROBLEMS,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: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
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 the recent years, project scheduling and management has been challenging many researchers and has become an intriguing field of study. There are many factors such as personnel, budget, time, materials,etc. that need to be taken into account before running a project. Practical situations have been successfully modeled in mathematical formulations and many problem test cases have been introduced to deal with project scheduling problems. However, having been proved as NPhard problem, only projects with small numbers of activities can be solved using linear or integer programming approaches while a real project may involve hundreds or even thousands of tasks or activities to be completed. This study proposes an efficient algorithm based on Adaptive Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to deal with largescale project scheduling problems, where an activity can be performed in different modes under precedence relations and resource constraints.
⚠️ 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.