Suresh Chandra Satapathy

Anand J. Kulkarni

Ali Husseinzadeh Kashan

Pramod Kumar Singh

Kang Tai

This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions. This book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial intelligence (AI) and computational intelligence fields.

Socio-cultural Inspired Metaheuristics

Ajith Abraham

Albert Zomaya

Patrick Siarry

Mengjie Zhang

Fazle Baki

This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.

Big Data Analytics in Healthcare

Jagdish Chand Bansal

Nikhil R. Pal

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.

Evolutionary and Swarm Intelligence Algorithms

The Book Brings Together A Collection Of Scholarly Papers On Different Issues Of Indian Fiction In English. It Makes An Intensive Study Of The Works Of The Novelists Who Have Helped In Shaping Indian English Fiction And Earned Reputation As Literary Jewels Of The World: Raja Rao, R.K. Narayan, Kamala Markandaya, Anita Desai, R.P. Jhabvala, Salman Rushdie, Amitav Ghosh, B. Rajan, Shashi Deshpande, Khushwant Singh, Raj Kamal Jha And Arundhati Roy. The Research Papers, Written By Eminent Scholars, Reflect Their Critical Vitality And Interpretative Acumen. The Book Deepens The Existing Critical Responses And Also Explores The Unlit Corner Of Indo-English Fiction.

Indian Fiction in English

Pramod Kumar Singh

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