Comparison Study for Clonal Selection Algorithm and Genetic Algorithm [PDF]
International Journal of Computer Science & Information Technology
(IJCSIT) Vol 4, No 4, August 2012 pp 107-118, 2012 Two metaheuristic algorithms namely Artificial Immune Systems (AIS) and Genetic Algorithms are classified as computational systems inspired by theoretical immunology and genetics mechanisms. In this work we examine the comparative performances of two algorithms.
arxiv +1 more source
Desain Kontroler PID-Genetic Algorithm untuk Sistem Pengaturan Level Air Steam Drum pada Pembangkit Listrik Tenaga Uap (PLTU) [PDF]
, 2017 Perubahan laju aliran uap menimbulkan gangguan pada sistem pengaturan level air steam drum. Level air dijaga pada titik tengah ketinggian drum atau disebut Normally Water Level (NWL), agar uap yang dihasilkan memenuhi spesifikasi serta tidak merusak ...
Fatoni, A. (Ali) +2 more
core +1 more source
Proposed Genetic Classification Algorithm
Revista Cubana de Ingeniería, 2013 The extraction of knowledge is the basis for decision making in various processes, data mining beingan area of fundamental knowledge to attain that end.
José Leandro González González +1 more
doaj +1 more source
NSGA-Net: neural architecture search using multi-objective genetic algorithm
Annual Conference on Genetic and Evolutionary Computation, 2018 This paper introduces NSGA-Net --- an evolutionary approach for neural architecture search (NAS). NSGA-Net is designed with three goals in mind: (1) a procedure considering multiple and conflicting objectives, (2) an efficient procedure balancing ...
Zhichao Lu +6 more
semanticscholar +1 more source
CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEW [PDF]
ICTACT Journal on Soft Computing, 2015 The performance of Genetic Algorithm (GA) depends on various operators. Crossover operator is one of them. Crossover operators are mainly classified as application dependent crossover operators and application independent crossover operators.
A.J. Umbarkar, P.D. Sheth
doaj
Application of a single-objective, hybrid genetic algorithm approach to pharmacokinetic model building. [PDF]
, 2012 A limitation in traditional stepwise population pharmacokinetic model building is the difficulty in handling interactions between model components. To address this issue, a method was previously introduced which couples NONMEM parameter estimation and ...
Belani, Chandra P +12 more
core +2 more sources
Source routing: Best rout using genetic algorithm
Journal of Kufa for Mathematics and Computer, 2010 The success of distributed multimedia traffic presents many challenges to the network designer, certain bandwidth as well as bounds on delay, loss probability and jitter in order to maintain reception quality are issues of Constraint Base Routing (CBR).
Hadeel Noori Saad
doaj +1 more source
Heuristic algorithms applied to the problems of servicing actors in supply chains [PDF]
Archives of Transport, 2017 The paper discusses main decision problems analysed in the subject matter of servicing actors operating in the supply chains, i.e. the vehicle routing problem, vehicles-to-task assignment problem and the problem of entities’ localization in the supply ...
Mariusz Izdebski +3 more
doaj +1 more source
Human Head Tracking Based on Particle Swarm Optimization and Genetic Algorithm [PDF]
, 2007 This paper compares particle swarm optimization and a genetic algorithm for perception by a partner robot. The robot requires visual perception to interact with human beings.
Kubota, Naoyuki, Sulistijono, Indra Adji
core +1 more source
A node selection algorithm with a genetic method based on PBFT in consortium blockchains
Complex & Intelligent Systems, 2022 Industry and research communities have widely studied Blockchain technology, and the consortium blockchain is currently the most used category with a wide range of applications.
Jinyu Zhang +3 more
doaj +1 more source