Ying Tan Knihy

Focusing on innovative anti-spam techniques, this book presents research utilizing artificial immune systems (AIS) to effectively identify and filter spam. It compiles a decade's worth of the author's contributions from various journals and conferences, covering essential topics such as extraction methods, construction approaches, and classifiers informed by immune danger theory. Additionally, it details immune-based dynamic algorithms and offers strategies for developing and implementing effective spam-filtering models.

This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015.

The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows: Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications.

Improve your personal and professional life with compelling strategies and practical advice Don't Push Too Many Trolleys: And Other Tips from Navigating Life and Business teaches readers ten crucial principles required to succeed in life and business. Written by Ying Tan, Founder and CEO of a multimillion pound financial services company, Don’t Push Too Many Trolleys imparts sage advice suitable for anyone, at any stage of their life. The author describes the attitudes, lessons, and traits that allowed him to become one of the youngest Vice Presidents ever at Goldman Sachs. He shows readers how he built a company from the ground up to create one of the most influential and powerful financial services companies in the UK. Full of concrete strategies and practical advice, this book provides: A deeply personal and humble perspective on success in life and business Actionable advice that makes a real difference in the pursuit of happiness and wealth A front-row seat to the economic meltdown of 2008 and how the author managed to survive it with his business intact Written for entrepreneurs, business people, financial professionals, and anyone else with an interest in improving their personal and professional life by taking full responsibility for their choices and actions, Don’t Push Too Many Trolleys is an indispensable addition to the libraries of people across the world.

This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modeling and theoretical analysis of FWA. It covers exhaustively the key recent significant research into the improvements of FWA so far. In addition, the book describes a few advanced topics in the research of FWA, including multi-objective optimization (MOO), discrete FWA (DFWA) for combinatorial optimization, and GPU-based FWA for parallel implementation. In sequels, several successful applications of FWA on non-negative matrix factorization (NMF), text clustering, pattern recognition, and seismic inversion problem, and swarm robotics, are illustrated in details, which might shed new light on more real-world applications in future. Addressing a multidisciplinary topic, it will appeal to researchers and professionals in the areas of metahuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc.