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Zigzag mutation: a new mutation operator to improve the genetic algorithm
Genetic algorithm is an exploratory method inspired by Darwin's theory of natural evolution. This algorithm reflects the natural selection process in...
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A New Algorithm for Bi-objective Problems Based on Gradient Information
This paper presents a new approach for bi-objective optimization based on the exploitation of available gradient information. The proposed algorithm...
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A Method of Pathing for Underwater Glider Cluster Based on Optimization Algorithm
Underwater gliders have become one of the iconic technologies in ocean environmental monitoring, which relies on adjusting buoyancy to achieve...
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Compressed sensing based visually secure multi-secret image encryption-sharing scheme
The existing encryption schemes of visually secure image have drawbacks, such as excessive concentration of image data and insufficient resistance to...
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Comparing the Brain Storm Optimization Algorithm on the Ambiguous Benchmark Set
In the field of evolutionary computation, benchmarking has a pivotal place in both the development of novel algorithms, and in performing comparisons...
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Uncertain random portfolio optimization with non-dominated sorting genetic algorithm-II and optimal solution criterion
The complexity of the financial systems inevitably leads to the uncertain information and random information simultaneously. Because asset returns...
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Bio-inspired cryptosystem on the reciprocal domain: DNA strands mutate to secure health data
Healthcare and telemedicine industries are relying on technology that is connected to the Internet. Digital health data are more prone to cyber...
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Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
Capturing time and frequency relationships of time series signals offers an inherent barrier for automatic human activity recognition (HAR) from...
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Mean-variance-skewness portfolio optimization under uncertain environment using improved genetic algorithm
An indeterminacy economic environment includes uncertainty during adopting experts knowledge for the analysis of stock returns. The main goal in this...
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Image encryption algorithm based on cross-scrambling and rapid-mode diffusion
An efficient encryption algorithm largely depends on the chaotic performance of chaotic map. The stronger the chaotic performance of chaotic map, the...
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TPE-MM: Thumbnail preserving encryption scheme based on Markov model for JPEG images
Advances in mobile communication have enabled images to be shared more conveniently, and the consequent risk of privacy breaches has been...
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F2D-SIFPNet: a frequency 2D Slow-I-Fast-P network for faster compressed video action recognition
Recent video action recognition methods directly use RGB pixels in the compressed domain. The cumbersome decoding process of traditional methods is...
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VEER: enhancing the interpretability of model-based optimizations
Context:Many software systems can be tuned for multiple objectives (e.g., faster runtime, less required memory, less network traffic or energy...
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Path Planning for Mobile Robots Based on Improved Ant Colony Algorithm
In a two-dimensional environment, the traditional ant colony algorithm path planning is prone to problems, such as many turning points, easily...
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Metaheuristic-based energy-aware image compression for mobile app development
The widely applied JPEG standard has undergone recent efforts using population-based metaheuristic (PBMH) algorithms to optimise quantisation tables...
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Genetic Improvement of TCP Congestion Avoidance
The Transmission Control Protocol (TCP) protocol, i.e., one of the most used protocols over networks, has a crucial role on the functioning of the...
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Genetic Programming-Based Inverse Kinematics for Robotic Manipulators
In this paper, we introduce an inverse kinematics model for a robotic manipulator using Genetic Programming (GP). The underlying problem requires...
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An image encryption algorithm based on pixel bit operation and nonlinear chaotic system
This paper proposes a new one-dimensional chaotic map—nonlinear coupled Sine-Tent-Logistic chaotic map (1DNCSTL). A series of tests on this map show...
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IFMD: image fusion for malware detection
Significant advances in malware production methods in recent years and their use of advanced concealment mechanisms have made identifying such...
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A parametric segmented multifactorial evolutionary algorithm based on a three-phase analysis
Evolutionary multitasking optimization, which concentrates on solving multiple tasks simultaneously, has been a core area of interest for researchers...
