[PDF][PDF] The optimal crossover or mutation rates in genetic algorithm: A review
Choice of crossover and/or mutation probabilities is critical to the success of genetic
algorithms. Earlier researches focused on finding optimal crossover or mutation rates, which …
algorithms. Earlier researches focused on finding optimal crossover or mutation rates, which …
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids
Bio-inspired algorithms like Genetic Algorithms and Fuzzy Inference Systems (FIS) are
nowadays widely adopted as hybrid techniques in improving goods and services. In this …
nowadays widely adopted as hybrid techniques in improving goods and services. In this …
Genetic algorithms with self-adaptation for predictive classification of medicare standardized payments for physical therapists
R Norat, AS Wu, X Liu - Expert Systems with Applications, 2023 - Elsevier
We present a self-adaptive genetic algorithm for the problem of predicting if a Medicare
standardized payment to a physical therapist will be above or below the national median …
standardized payment to a physical therapist will be above or below the national median …
Optimization of multiple traveling salesmen problem by a novel representation based genetic algorithm
Abstract The Vehicle Routing Problem (VRP) is a complex combinatorial optimization
problem that can be described as follows: given a fleet of vehicles with uniform capacity, a …
problem that can be described as follows: given a fleet of vehicles with uniform capacity, a …
Parallel evolution using multi-chromosome cartesian genetic programming
JA Walker, K Völk, SL Smith, JF Miller - Genetic Programming and …, 2009 - Springer
Parallel and distributed methods for evolutionary algorithms have concentrated on
maintaining multiple populations of genotypes, where each genotype in a population …
maintaining multiple populations of genotypes, where each genotype in a population …
A novel approach to solve multiple traveling salesmen problem by genetic algorithm
Abstract The multiple Traveling Salesman Problem (mTSP) is a complex combinatorial
optimization problem, which is a generalization of the well-known Traveling Salesman …
optimization problem, which is a generalization of the well-known Traveling Salesman …
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic
Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in …
Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in …
CamoEvo: An open access toolbox for artificial camouflage evolution experiments
GRA Hancock, J Troscianko - Evolution, 2022 - academic.oup.com
Camouflage research has long shaped our understanding of evolution by natural selection,
and elucidating the mechanisms by which camouflage operates remains a key question in …
and elucidating the mechanisms by which camouflage operates remains a key question in …
A survey of evolutionary and embryogenic approaches to autonomic networking
The term “autonomic networking” refers to network-level software systems capable of self-
management, according to the principles outlined by the Autonomic Computing initiative …
management, according to the principles outlined by the Autonomic Computing initiative …
Adaptive robotic gait control using coupled artificial signalling networks, hopf oscillators and inverse kinematics
A novel bio-inspired architecture comprising three layers is introduced for a six-legged robot
in order to generate adaptive rhythmic locomotion patterns using environmental information …
in order to generate adaptive rhythmic locomotion patterns using environmental information …