An Improved Adaptive Spiral Dynamic Algorithm for Global Optimization

This paper proposes a new strategy to enhance the performance and accuracy of the Spiral dynamic algorithm (SDA) for use in solving real-world problems by hybridizing the SDA with the Bacterial Foraging optimization algorithm (BFA). The dynamic step size of SDA makes it a useful exploitation approach. However, it has limited exploration throughout the diversification phase, which results in getting trapped at local optima. The optimal initialization position for the SDA algorithm has been determined with the help of the chemotactic strategy of the BFA optimization algorithm, which has been utilized to improve the exploration approach of the SDA. The proposed Hybrid Adaptive Spiral Dynamic Bacterial Foraging (HASDBF) algorithm is designed so that the chemotaxis phase of bacteria represents the exploration part of the search operation. In contrast, the SDA represents the exploitation part. Additionally, to improve search operation efficiency, the spiral model's radius and angular displacement are adaptively set according to a linear correlation concerning the fitness value. An additional phase, the elimination and dispersal phase, is obtained from BFA and added to the end of the SDA. This phase aims to improve the algorithm's final solution's accuracy by enhancing the algorithm's search strategy and performance. Simulation tests are run on unimodal and multimodal standard benchmark functions to verify the proposed algorithm. The proposed algorithm significantly outperforms SDA and Adaptive SDA (ASDA) algorithms regarding fitness value and accuracy.

Advances in Optimization and Nonlinear Analysis

The present book focuses on that part of calculus of variations, optimization, nonlinear analysis and related applications which combines tools and methods from partial differential equations with geometrical techniques. More precisely, this work is devoted to nonlinear problems coming from different areas, with particular reference to those introducing new techniques capable of solving a wide range of problems. The book is a valuable guide for researchers, engineers and students in the field of mathematics, operations research, optimal control science, artificial intelligence, management science and economics

Industrial Networks and Intelligent Systems [electronic resource] : 14th EAI International Conference, INISCOM 2018, Da Nang, Vietnam, August 27–28, 2018, Proceedings /

This book constitutes the refereed proceedings of the 4th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2018, held in Da Nang, Vietnam, in August 2018. The 26 full papers were selected from 38 submissions and are organized thematically in tracks: Telecommunications Systems and Networks; Industrial Networks and Applications; Hardware and Software Design and Development; Information Processing and Data Analysis; Signal Processing; Security and Privacy.Optimal Beamforming for Multiuser Secure SWIPT Systems -- Logarithmic Spiral based Local Search in Artificial Bee Colony Algorithm -- Outage Performance Analysis of Energy Harvesting DF -- Cooperative NOMA Networks over Nakagami-m Fading Channels -- Multi-path Routing for Mission Critical Applications in Software-Defined Networks -- Natural Disaster and Environmental Threat Monitoring System: Design and Implementation -- Sport News Semantic Search with Natural Language Questions -- Smart City Total Transport-Managing System -- Shinobi: A Novel Approach for Context-Driven Testing (CDT) using Heuristics and Machine Learning for Web Applications -- DOA Estimation of Underwater Acoustic Signals Using Non-uniform Linear Arrays Performance Analysis of the Access Link of Drone Base Station Networks with LoS/NLoS Transmissions -- Development of the Rules for Transformation of UML Sequence Diagrams into Queueing Petri Nets -- HHUSI: An Efficient Algorithm for Hiding Sensitive High Utility Itemsets -- Converting the Vietnamese Television News into 3D Sign Language animations for the deaf -- Outage Performance of the Downlink NOMA Relay Networks with RF Energy Harvesting and Buffer-Aided Relay -- Analyzing Seismic Signal Using Support Vector Machine for Vehicle Motion Detection -- Smart-IoUT 1.0: A Smart Aquatic Monitoring Network based on Internet of Underwater Things (IoUT) -- Wireless Power Transfer under Secure Communication with Multiple Antennas and Eavesdroppers -- Impact of Opportunistic Transmission on MCIK-OFDM: Diversity and Coding Gains -- An Improved Occlusion Detection with constraints Approach for Video Processing -- Development and Deployment of An IoT-based Reconfigurable System: A Case Study for Smart Garden -- Secure Cooperative Systems with Jamming and Unreliable Backhaul over Nakagami-m Fading Channels -- Outage Probability of Cognitive Heterogeneous Networks with Multiple Primary Users and Unreliable Backhaul Connections -- Impact of Direct Communications on the Performance of Cooperative Spectrum-Sharing with Two-Way Relays and Maximal Ratio Combining -- Energy Efficiency Maximization with Per-Antenna Power Constraints for Multicell Networks Using D.C. Programming -- Development of a Positioning Solution Using FUKS Based on RTS Smoother Combined with FUKF for Vehicle Management Systems -- Modeling Spatially-Correlated Cellular Networks by Using Inhomogeneous Poisson Point Processes.This book constitutes the refereed proceedings of the 4th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2018, held in Da Nang, Vietnam, in August 2018. The 26 full papers were selected from 38 submissions and are organized thematically in tracks: Telecommunications Systems and Networks; Industrial Networks and Applications; Hardware and Software Design and Development; Information Processing and Data Analysis; Signal Processing; Security and Privacy