International Symposium on Optimization Theory & its Applications (ISOTA-2023)
and
A Special Chapter on Applied Mathematics, Computing and Engineering
April 13-15, 2023
Thapar Institute of Engineering & Technology, Patiala 147004, Punjab, India
Announcements
Abstract submission deadline: April 02, 2023*
Last date of Registration: April 05, 2023*
*Extended
The main objectives of the symposium are:
To provide a platform for researchers, students, and practitioners to present and discuss the latest developments, trends, and challenges in the field of optimization theory and its applications.
To promote interdisciplinary research and collaboration among experts in various fields, including engineering, computer science, mathematics, economics, and operations research.
To explore the potential of optimization theory and its applications in solving real-world problems in diverse domains such as finance, healthcare, transportation, energy, and telecommunications.
To identify emerging research directions and challenges in the field and discuss potential solutions.
To foster professional development and networking opportunities for participants, including students and early-career researchers.
Overall, the optimization theory and its applications symposium aim to advance the state of the art in optimization theory and promote its application to solve complex problems in various fields.
On huge response of participants, we have introduced a special chapter on applied mathematics, computing and engineering. Applied Mathematics, Computing, and Engineering are three intertwined fields that have a significant impact on our modern world. This chapter will provide an overview of these fields, their interrelationships, and their applications. The papers are invited to this special chapter.
Topics
Linear and Nonlinear Optimization
Multi-objective Optimization
Non-smooth Optimization
Robust and Stochastic Optimization
Combinatorial Optimization (Vehicle routing, Scheduling, Travelling salesman Problems)
Game Theory and its Applications in Business Intelligence
Reliability Optimization
Complimentary Problems and Variational inequalities
Application of Optimization models in Finance and Economics
Optimization in Machine learning
Fuzzy Optimization
Numerical methods in Optimization
Heuristics and Metaheuristics
Design and Optimization of Deep Learning
Data Envelopment Analysis
MADM Techniques
Data Analytics and Data Technologies
Algorithms and Systems for Big Data Search
Methodologies for Large-Scale Computing
Analytics in Operations and Supply Chain Management
Inventory Models in Business Decision making