
Sách keo gáy, bìa mềm
The text envisages novel optimization methods that
significantly impact real-life problems, starting from inventory control
to economic decision-making. It discusses topics such as inventory
control, queueing models, timetable scheduling, fuzzy optimization, and
the Knapsack problem. The book’s content encompass the following key
aspects:
• Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithms.
•
Discusses the optimization techniques used in transportation problems,
timetable problems, and optimal/dynamic pricing in inventory control.
• Highlights single and multi-objective optimization problems using pentagonal fuzzy numbers.
• Illustrates profit maximization inventory model for non-instantaneous deteriorating items with imprecise costs.
•
Showcases nature-inspired algorithms such as particle swarm
optimization, genetic algorithm, bat algorithm, and cuckoo search
algorithm.
The text covers multi-disciplinary real-time problems such
as fuzzy optimization of transportation problems, inventory control
with dynamic pricing, timetable problem with ant colony optimization,
knapsack problem, queueing modeling using the nature-inspired algorithm,
and multi-objective fuzzy linear programming. It showcases a
comparative analysis for studying various combinations of system design
parameters and default cost elements. It will serve as an ideal
reference text for graduate students and academic researchers in the
fields of industrial engineering, manufacturing engineering, production
engineering, mechanical engineering, and mathematics.
Năm:2024
Nhà xuát bản:CRC Press
Ngôn ngữ:english
Trang: 267