Optimization Techniques and Applications
SocProS 2025, Roorkee, India, February 24–26
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Beschreibung
This book offers a comprehensive collection of 33 research contributions presented at the 13th International Conference on Soft Computing for Problem Solving (SocProS 2025): Artificial Intelligence for Viksit Bharat, held at the Indian Institute of Technology Roorkee, Uttrakhand, India, from 24th to 26th February 2025. It focusses on the powerful interplay between advanced mathematical methods and optimization techniques. The book features research on diverse topics, such as fractional calculus, swarm intelligence, fuzzy logic, neutrosophic theory, decision-making models and resource optimization in engineering systems.
Focusing on topics related to optimization in energy production and consumption, the book emphasizes applications that directly relate to SDG 7 (Affordable and Clean Energy). It also discusses application in smart networks, inventory management, metro rail construction, financial market modeling and sustainable practices. Special attention is given to metaheuristic algorithms, multi-objective optimization problems, predictive modeling and the analytical solutions of complex differential systems. It serves as a valuable reference for researchers and practitioners in applied mathematics, computer science, engineering optimization and operations research. The book bridges theoretical foundations with practical solutions to modern, real-world problems, emphasizing interdisciplinary approaches and computational techniques.
This book offers a comprehensive collection of 33 research contributions presented at the 13th International Conference on Soft Computing for Problem Solving (SocProS 2025): Artificial Intelligence for Viksit Bharat, held at the Indian Institute of Technology Roorkee, Uttrakhand, India, from 24th to 26th February 2025. It focusses on the powerful interplay between advanced mathematical methods and optimization techniques. The book features research on diverse topics, such as fractional calculus, swarm intelligence, fuzzy logic, neutrosophic theory, decision-making models and resource optimization in engineering systems.
Focusing on topics related to optimization in energy production and consumption, the book emphasizes applications that directly relate to SDG 7 (Affordable and Clean Energy). It also discusses application in smart networks, inventory management, metro rail construction, financial market modeling and sustainable practices. Special attention is given to metaheuristic algorithms, multi-objective optimization problems, predictive modeling and the analytical solutions of complex differential systems. It serves as a valuable reference for researchers and practitioners in applied mathematics, computer science, engineering optimization and operations research. The book bridges theoretical foundations with practical solutions to modern, real-world problems, emphasizing interdisciplinary approaches and computational techniques.
This book offers a comprehensive collection of 33 research contributions presented at the 13th International Conference on Soft Computing for Problem Solving (SocProS 2025): Artificial Intelligence for Viksit Bharat, held at the Indian Institute of Technology Roorkee, Uttrakhand, India, from 24th to 26th February 2025. It focusses on the powerful interplay between advanced mathematical methods and optimization techniques. The book features research on diverse topics, such as fractional calculus, swarm intelligence, fuzzy logic, neutrosophic theory, decision-making models and resource optimization in engineering systems.
Focusing on topics related to optimization in energy production and consumption, the book emphasizes applications that directly relate to SDG 7 (Affordable and Clean Energy). It also discusses application in smart networks, inventory management, metro rail construction, financial market modeling and sustainable practices. Special attention is given to metaheuristic algorithms, multi-objective optimization problems, predictive modeling and the analytical solutions of complex differential systems. It serves as a valuable reference for researchers and practitioners in applied mathematics, computer science, engineering optimization and operations research. The book bridges theoretical foundations with practical solutions to modern, real-world problems, emphasizing interdisciplinary approaches and computational techniques.
Discusses optimization algorithms in particle swarm optimization, differential evolution, genetic algorithms and TLBO Provides comparative study on metaheuristic techniques for applications in energy, transportation and financial modeling Focuses on sustainable optimization under environmental constraints and green technology adoption
Autor*in
Millie Pant
Themen in »Optimization Techniques and Applications«
optimization applicatons of mathematics machine learning probability theory rough neutrosophic set deep learning energy optimization green building SDG 7 Monte-Carlo simulation metro rail construction smart home SocProS 2025 metaheuristic PSO carbon emission