Hybrid evolutionary programming using adaptive Lévy mutation and modified Nelder–Mead method
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3422-4
Abstract: Evolutionary programming has been widely applied to solve global optimization problems. Its performance is related to both mutation operators and fitness landscapes. In order to make evolutionary programming more efficient, its mutation operator should adapt… read more here.
Keywords: evolutionary programming; hybrid evolutionary; programming; adaptive mutation ... See more keywords
CMFuzz: context-aware adaptive mutation for fuzzers
Sign Up to like & getrecommendations! Published in 2021 at "Empirical Software Engineering"
DOI: 10.1007/s10664-020-09927-3
Abstract: Mutation-based fuzzing is a simple yet effective technique to discover bugs and security vulnerabilities in software. Given a set of well-formed initial seeds, mutation-based fuzzers continually generate interesting seeds by applying specific mutation strategy in… read more here.
Keywords: aware adaptive; adaptive mutation; mutation based; context aware ... See more keywords
Tracking Variable Fitness Landscape in Dynamic Multi-Objective Optimization Using Adaptive Mutation and Crossover Operators
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DOI: 10.1109/access.2020.3031498
Abstract: Many real-world problems are modeled as multi-objective optimization problems whose optimal solutions change with time. These problems are commonly termed dynamic multi-objective optimization problems (DMOPs). One challenge associated with solving such problems is the fact… read more here.
Keywords: optimization; time; dynamic multi; objective optimization ... See more keywords
Pothole and Plain Road Classification Using Adaptive Mutation Dipper Throated Optimization and Transfer Learning for Self Driving Cars
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DOI: 10.1109/access.2022.3196660
Abstract: Self-driving car plays a crucial role in implementing traffic intelligence. Road smoothness in front of self-driving cars has a significant impact on the car’s driving safety and comfort. Having potholes on the road may lead… read more here.
Keywords: road; adaptive mutation; self driving; driving cars ... See more keywords
Embedded adaptive mutation evolutionary programming for distributed generation management
Sign Up to like & getrecommendations! Published in 2019 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v16.i1.pp364-370
Abstract: Distribution generation (DG) is a widely used term to describe additional supply to a power system network. Normally, DG is installed in distribution network because of its small capacity of power. Number of DGs connected… read more here.
Keywords: network; embedded adaptive; distribution network; adaptive mutation ... See more keywords
Selective Inbreeding: Genetic Crosses Drive Apparent Adaptive Mutation in the Cairns-Foster System of Escherichia coli
Sign Up to like & getrecommendations! Published in 2019 at "Genetics"
DOI: 10.1534/genetics.119.302754
Abstract: In the Cairns-Foster adaptive mutation system, lac mutant cells are plated on lactose medium where 50 revertant colonies accumulate over 5 days above a non-growing lawn. A new model attributes this behavior to selective... The… read more here.
Keywords: selective inbreeding; system; cairns foster; escherichia coli ... See more keywords
Adaptive Mutation Dynamic Search Fireworks Algorithm
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DOI: 10.3390/a10020048
Abstract: The Dynamic Search Fireworks Algorithm (dynFWA) is an effective algorithm for solving optimization problems. However, dynFWA easily falls into local optimal solutions prematurely and it also has a slow convergence rate. In order to improve… read more here.
Keywords: fireworks algorithm; adaptive mutation; search fireworks; dynamic search ... See more keywords