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Multi-stage optimized machine learning framework for network intrusion detection
Cyber-security garnered significant attention due to the increased dependency of individuals
and organizations on the Internet and their concern about the security and privacy of their …
and organizations on the Internet and their concern about the security and privacy of their …
Edge-enabled V2X service placement for intelligent transportation systems
Vehicle-to-everything (V2X) communication and services have been garnering significant
interest from different stakeholders as part of future intelligent transportation systems (ITSs) …
interest from different stakeholders as part of future intelligent transportation systems (ITSs) …
Probabilistic tools for the analysis of randomized optimization heuristics
This chapter collects several probabilistic tools that have proven to be useful in the analysis
of randomized search heuristics. This includes classic material such as the Markov …
of randomized search heuristics. This includes classic material such as the Markov …
A survey on recent progress in the theory of evolutionary algorithms for discrete optimization
The theory of evolutionary computation for discrete search spaces has made significant
progress since the early 2010s. This survey summarizes some of the most important recent …
progress since the early 2010s. This survey summarizes some of the most important recent …
Optimization algorithms for computational systems biology
Computational systems biology aims at integrating biology and computational methods to
gain a better understating of biological phenomena. It often requires the assistance of global …
gain a better understating of biological phenomena. It often requires the assistance of global …
Esca** local optima using crossover with emergent diversity
Population diversity is essential for avoiding premature convergence in genetic algorithms
(GAs) and for the effective use of crossover. Yet the dynamics of how diversity emerges in …
(GAs) and for the effective use of crossover. Yet the dynamics of how diversity emerges in …
Migration-based load balance of virtual machine servers in cloud computing by load prediction using genetic-based methods
This paper presents a two-stage genetic mechanism for the migration-based load balance of
virtual machine hosts (VMHs) in cloud computing. Previous methods usually assume this …
virtual machine hosts (VMHs) in cloud computing. Previous methods usually assume this …
Level-based analysis of genetic algorithms and other search processes
Understanding how the time complexity of evolutionary algorithms (EAs) depend on their
parameter settings and characteristics of fitness landscapes is a fundamental problem in …
parameter settings and characteristics of fitness landscapes is a fundamental problem in …
Drift analysis
Drift Analysis Page 1 Chapter 2 Drift Analysis Johannes Lengler Abstract Drift analysis is one
of the major tools for analysing evolutionary algorithms and nature-inspired search heuristics …
of the major tools for analysing evolutionary algorithms and nature-inspired search heuristics …
Optimization of day-ahead energy storage system scheduling in microgrid using genetic algorithm and particle swarm optimization
We present a day-ahead scheduling strategy for an Energy Storage System (ESS) in a
microgrid using two algorithms-Genetic Algorithm (GA) and Particle Swarm Optimization …
microgrid using two algorithms-Genetic Algorithm (GA) and Particle Swarm Optimization …