The proceedings contain 18 papers. The topics discussed include: using concepts from biology to improve problem-solving methods;PADF RF localization experiments with multi-agent caged-MAV platforms;boresight calibrati...
ISBN:
(纸本)9780819486332
The proceedings contain 18 papers. The topics discussed include: using concepts from biology to improve problem-solving methods;PADF RF localization experiments with multi-agent caged-MAV platforms;boresight calibration of the aerial multi-head camera system;initial data sampling in design optimization;a robust regularization algorithm for polynomial networks for machine learning;a scaled, performance driven evaluation of the layered-sensing framework utilizing polarimetric infrared imagery;categorification of the layered sensing construct;modeling decision uncertainties in total situation awareness using cloud computationtheory;wide-threat detection: recognition of adversarial missions and activity patterns in Empire Challenge 2009;and graph clustering techniques applied to the glycomic response in glioblastoma cells to treatments with STAT3 phosphorylation inhibition and fetal bovine serum.
The proceedings contain 20 papers. The topics discussed include: uncertainty preserving patch-based online modeling for 3D model acquisition and integration from passive motion imagery;feature-based background registr...
ISBN:
(纸本)9780819490803
The proceedings contain 20 papers. The topics discussed include: uncertainty preserving patch-based online modeling for 3D model acquisition and integration from passive motion imagery;feature-based background registration in wide-area motion imagery;persistent electro-optical/infrared wide-area sensor exploitation;anomaly detection driven active learning for identifying suspicious tracks and events in WAMI video;SIFT vehicle recognition with semi-synthetic model database;insect vision based collision avoidance system for remotely piloted aircraft;anomaly detection driven active learning for identifying suspicious tracks and events in WAMI video;insect vision based collision avoidance system for remotely piloted aircraft;pattern activity clustering and evaluation (PACE);dynamic graph analytic framework (DYGRAF): greater situation awareness through layered multi-modal network analysis;and quality-of-service sensitivity to bio-inspired/evolutionarycomputational methods for intrusion detection in wireless ad hoc multimedia sensor networks.
The proceedings contain 33 papers. The topics discussed include: intelligent dissemination in a secure, wireless platform;effective learning techniques for military applications using the personalized assistant that l...
ISBN:
(纸本)9780819476135
The proceedings contain 33 papers. The topics discussed include: intelligent dissemination in a secure, wireless platform;effective learning techniques for military applications using the personalized assistant that learns (PAL) enhanced web-based temporal analysis system (WebTAS);efficiently determining transform filter coefficients for image processing by applying distributed genetic algorithms;aerial image registration incorporating GPS/IMU data;novel insights into the lipidome of glioblastoma cells based on a combined PLSR and DD-HDS computational analysis;application and evaluation of a motion compensation technique to breast MRI;emergency response networks for disaster monitoring and detection from space;an adaptive approach to space-based picosatellite sensor networks;endgame implementations for the efficient global optimization (EGO) algorithm;and issues involved in developing a genetic algorithm methodology for optimizing the position of ship-board antennas.
The proceedings contain 23 papers. The topics discussed include: sender independent delivery in a secure wireless platform;neural methods based on modified reputation rules for detection and identification of intrusio...
ISBN:
(纸本)9780819481689
The proceedings contain 23 papers. The topics discussed include: sender independent delivery in a secure wireless platform;neural methods based on modified reputation rules for detection and identification of intrusion attacks in wireless ad hoc sensor networks;entropyology: the application of bioinformatics and data modeling to digital virus and malware recognition;computational techniques to the topology and dynamics of lipidomic networks found in glioblastoma cells;applying EGO to large dimensional optimizations: a wideband fragmented patch example;optimum design of antennas using metamaterials with the efficient global optimization (EGO) algorithm;multiple tests for wind turbine fault detection and score fusion using two-level multidimensional scaling (MDS);two satellite image sets for the training and validation of image processing systems for defense applications;application and evaluation of novel optical-flow-based motion correction algorithms to breast MRI;and cognitive dynamic logic algorithms for situational awareness.
The proceedings contain 16 papers. The topics discussed include: biologically inspired models for swarming;classifying and evolving multi-agent behaviors from animal packs in search and tracking problems;developing AE...
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ISBN:
(纸本)0819466859
The proceedings contain 16 papers. The topics discussed include: biologically inspired models for swarming;classifying and evolving multi-agent behaviors from animal packs in search and tracking problems;developing AEA system-of-systems mission plans with a multi-objective genetic algorithm;evolutionary optimization of cooperative heterogeneous teams;the multi-objective constrained assignment problems;modeling and predicting abstract concept or idea introduction and propagation through geopolitical groups;modeling and predicting community responses to events using cultural demographics;modeling and predicting community responses to events using cultural demographics;bio-inspired large cellular neural networks;evolving military-grade image transforms using state-of-the-art variation operators;and object classification with recurrent feedback neural networks.
The proceedings contain 16 papers. The topics discussed include: the knowledge instinct, cognitive algorithms, modeling of language and cultural evolution;bio-inspiration not bio-imitation;a biological inspired approa...
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ISBN:
(纸本)9780819471550
The proceedings contain 16 papers. The topics discussed include: the knowledge instinct, cognitive algorithms, modeling of language and cultural evolution;bio-inspiration not bio-imitation;a biological inspired approach to modeling unmanned vehicle teams;a bio-inspired swarm robot coordination algorithm for multiple target searching;an evolutionary algorithm technique for intelligence, surveillance, and reconnaissance plan optimization;using a multi-objective genetic algorithm for developing aerial sensor team search strategies;team-based resource allocation using a decentralized social decision-making paradigm;data modeling enabled dynamical analysis for blogger state-of-mind modeling and prediction;developing an intelligence analysis process through social network analysis;and a qualia representation of cyberspace.
Investigation and subsequent abstraction of biological systems have become a popular approach to innovate new mechanisms. Robot gripper design is an active research area that seeks continuous improvements to cater to ...
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Investigation and subsequent abstraction of biological systems have become a popular approach to innovate new mechanisms. Robot gripper design is an active research area that seeks continuous improvements to cater to its wide spectrum of applications. Tetraonchus momenteron is an infamous parasite which has a robust gripping system (haptor) inserted into the fish-gills. We have redesigned this pull-based gripper for practical application by adjusting the link lengths using many-objective optimization. An existing pusher type of gripper mechanism is also selected to elucidate the similarities and dissimilarities between both the mechanisms. Both push and pull based grippers have been analyzed based on quasi static kinematics and are formulated as many objective optimization problems subjected to geometric-cum-force constraints. The goal of optimization is to find the best link lengths and joint angles for each configuration based on desired criteria. Four possible variants of piezoelectric actuator models are integrated into the optimization formulation to actuate the gripper models. These integrations have led to four different optimization problems for each case. evolutionary many-objective optimization method is used to obtain non-dominated solutions. The optimized designs are compared based on objective function values to evaluate the performance of each gripper. The results of many-objective optimization are normalized and represented using parallel coordinate plots to aid the decision maker. Our comparative study reveals that while the new nature inspired pull based design has shown promising results in many cases, each gripper configuration has its own merits and requires decision maker's intervention to choose a particular model based on specific requirement.
With the rapid advancements in technology and science, optimization theory and algorithms have become increasingly important. A wide range of real-world problems is classified as optimization challenges, and meta-heur...
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With the rapid advancements in technology and science, optimization theory and algorithms have become increasingly important. A wide range of real-world problems is classified as optimization challenges, and meta-heuristic algorithms have shown remarkable effectiveness in solving these challenges across diverse domains, such as machine learning, process control, and engineering design, showcasing their capability to address complex optimization problems. The Stochastic Fractal Search (SFS) algorithm is one of the most popular meta-heuristic optimization methods inspired by the fractal growth patterns of natural materials. Since its introduction by Hamid Salimi in 2015, SFS has garnered significant attention from researchers and has been applied to diverse optimization problems across multiple disciplines. Its popularity can be attributed to several factors, including its simplicity, practical computational efficiency, ease of implementation, rapid convergence, high effectiveness, and ability to address single- and multi-objective optimization problems, often outperforming other established algorithms. This review paper offers a comprehensive and detailed analysis of the SFS algorithm, covering its standard version, modifications, hybridization, and multi-objective implementations. The paper also examines several SFS applications across diverse domains, including power and energy systems, image processing, machine learning, wireless sensor networks, environmental modeling, economics and finance, and numerous engineering challenges. Furthermore, the paper critically evaluates the SFS algorithm's performance, benchmarking its effectiveness against recently published meta-heuristic algorithms. In conclusion, the review highlights key findings and suggests potential directions for future developments and modifications of the SFS algorithm.
Swarm Intelligence and bio-inspiredcomputation have become increasing popular in the last two decades. bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo...
Swarm Intelligence and bio-inspiredcomputation have become increasing popular in the last two decades. bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspiredcomputation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers. Focuses on the introduction and analysis of key algorithms Includes case studies for real-world applicationsContains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.
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