State of Art in Genetic Algorithms for Agricultural Systems

Genetic algorithms are built as abstract populations of a number of candidate solutions, each of it being evaluated for accomplish a desired performance. Populations evolve from one generation to another through mutation, crossover and selection in order to obtain an acceptable solution. Genetic algorithms applications cover the subject of decision, classification, optimization and simulation of hard problems. The quality of a genetic algorithm is evaluated in terms of speed, accuracy and domain of applicability. The use of all genetic operators could assure the convergence towards the optimum solution for a specific hard problem. The approaches used to construct the search space and the objective function (survival of the fittest, natural selection) assure the diversity of genetic algorithms. Studies on the development and use of genetic algorithms in solving hard problems in the field of agricultural systems were identified, analyzed and are presented here.

• Publication year

  2010

• Venue

  Notulae Botanicae Horti Agrobotanici Cluj-Napoca

• Publication date

  2010-12-05

• Fields of study

  Agricultural and Food Sciences, Computer Science

• Identifiers
  DOI 10.15835/NBHA3835455
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Mesquite: a modular system for evolutionary analysis. Version 2.6

  2009cited by this paper
• Hard Problems in Gene Sequence Analysis: Classical Approaches and Suitability of Genetic Algorithms

  2009cited by this paper
• Molecular evolution of paclitaxel biosynthetic genes TS and DBAT of Taxus species

  2009cited by this paper
• Optimal cultivation rules in multi‐crop irrigation areas

  2009cited by this paper
• Subgraphs of pair vertices

  2009cited by this paper
• Monitoring peanut contamination in Mali (Africa) using AVHRR satellite data and a crop simulation model

  2008cited by this paper
• Toxicity caused by para-substituted phenols on Tetrahymena pyriformis: the structure-activity relationships

  2008cited by this paper
• Major evolutionary transitions in ant agriculture

  2008cited by this paper
• Scent evolution in Chinese roses

  2008cited by this paper
• Relationship between drought and solar irradiation variables

  2008cited by this paper
• A nonlinear time series analysis using two‐stage genetic algorithms for streamflow forecasting

  2008cited by this paper
• Preliminary Results on Design and Implementation of a Solar Radiation Monitoring System

  2008cited by this paper
• Downscaling precipitation to river basin in India for IPCC SRES scenarios using support vector machine

  2008cited by this paper
• Optimal water productivity of irrigation networks in arid and semi‐arid regions

  2008cited by this paper
• A Structural Modelling Study on Marine Sediments Toxicity

  2008influential reference
• Priority determination in strategic energy policies in Turkey using analytic network process (ANP) with group decision making

  2008cited by this paper
• Hemagglutinating activity and corresponding putative sequence identity from Curcuma aromatica rhizome

  2008cited by this paper
• Predicted and verified distributions of Ateles geoffroyi and Alouatta palliata in Oaxaca, Mexico

  2008cited by this paper
• The complete nucleotide sequence of the cassava (Manihot esculenta) chloroplast genome and the evolution of atpF in Malpighiales: RNA editing and multiple losses of a group II intron

  2008cited by this paper
• Clustal W and Clustal X version 2.0

  2007cited by this paper
• Quantitative genetics and functional-structural plant growth models: simulation of quantitative trait loci detection for model parameters and application to potential yield optimization.

  2007cited by this paper
• A Soil Temperature/Short-Wave Radiation Growth Model for Butterhead Lettuce Under Protected Cultivation in Flanders

  2007cited by this paper
• An Optimization Genetic Algorithm for Image Databases in Agriculture

  2007cited by this paper
• Optimal Control of Solar Sludge Dryers

  2007cited by this paper
• Proterozoic evolution and provenance of the high-grade Jotun Nappe Complex, SW Norway: U–Pb geochronology

  2007cited by this paper
• The quest for natural selection in the age of comparative genomics

  2007cited by this paper
• Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling

  2007cited by this paper
• Coevolving Memetic Algorithms: A Review and Progress Report

  2007cited by this paper
• Complete chloroplast genome sequences of Hordeum vulgare, Sorghum bicolor and Agrostis stolonifera, and comparative analyses with other grass genomes

  2007cited by this paper
• Evaluating alternative hypotheses for the early evolution and diversification of ants

  2006cited by this paper
• An exploratory chemometric study of 1H NMR spectra of table wines

  2006cited by this paper
• Toward an optimal control strategy for sweet pepper cultivation : a dynamic crop model

  2006cited by this paper
• A jumping profile Hidden Markov Model and applications to recombination sites in HIV and HCV genomes

  2006cited by this paper
• Systema naturae（自然の体系）

  2006cited by this paper
• Impact of heavy metals and PCBs on marine picoplankton

  2006influential reference
• A Tutorial on the Cross-Entropy Method

  2005cited by this paper
• Genotyping of fig (Ficus carica L) via RAPD markers

  2005cited by this paper
• Mapping genome-genome epistasis: a high-dimensional model

  2005cited by this paper
• Optimal Power Flow of the Algerian Electrical Network using an Ant Colony Optimization Method

  2005cited by this paper
• Modelling Wild-Oat Density in Terms of Soil Factors: A Machine Learning Approach

  2005cited by this paper
• Simulation of extreme temperature events by a stochastic weather generator: effects of interdiurnal and interannual variability reproduction

  2005cited by this paper
• Automatic Test Case Optimization: A Bacteriologic Algorithm

  2005cited by this paper
• Application of genetic algorithms for irrigation water scheduling

  2004cited by this paper
• Agent-Based Modeling of Cultural Change in Swarm Using Cultural Algorithms

  2004cited by this paper
• Animating plant growth in L‐system by parametric functional symbols

  2004cited by this paper
• Time flies, a new molecular time-scale for brachyceran fly evolution without a clock.

  2003cited by this paper
• R8s: Inferring Absolute Rates of Molecular Evolution, Divergence times in the Absence of a Molecular Clock

  2003cited by this paper
• MrBayes 3: Bayesian phylogenetic inference under mixed models

  2003influential reference
• Evaluating predictive models of species’ distributions: criteria for selecting optimal models

  2003cited by this paper
• Simulation and optimization model for irrigation planning and management

  2003cited by this paper
• A feature selection bayesian approach for extracting classification rules with a clustering genetic algorithm

  2003cited by this paper
• A feature selection Bayesian approach for a clustering genetic algorithm

  2003cited by this paper
• Using geomorphological rules to classify photogrammetrically-derived digital elevation models

  2003cited by this paper
• The metapopulation genetic algorithm: An efficient solution for the problem of large phylogeny estimation

  2002cited by this paper
• Relationships of extant lower Brachycera (Diptera): a quantitative synthesis of morphological characters

  2002cited by this paper
• Estimating absolute rates of molecular evolution and divergence times: a penalized likelihood approach.

  2002cited by this paper
• Integrated optimization of energy supply systems in horticulture using genetic algorithms

  2001cited by this paper
• Design of reserve networks and the persistence of biodiversity.

  2001cited by this paper
• Priority setting in agricultural research: beyond economic surplus methods

  2001cited by this paper
• A likelihood approach to estimating phylogeny from discrete morphological character data.

  2001cited by this paper
• Bayesian Inference of Phylogeny and Its Impact on Evolutionary Biology

  2001cited by this paper
• COMPARISON OF DIFFERENT TYPES OF LIGHT SOURCES FOR OPTICAL COTTON MASS MEASUREMENTA NEURAL NETWORK FOR SETTING TARGET CORN YIELDS

  2001influential reference
• Neural networks for setting target corn yields

  2000cited by this paper
• The jumping plant-lice (Hemiptera, Psylloidea) associated with Schinus (Anacardiaceae): systematics, biogeography and host plant relationships

  2000cited by this paper
• Knowledge-based analysis of microarray gene expression data by using support vector machines.

  2000cited by this paper
• SPLASH: structural pattern localization analysis by sequential histograms

  2000cited by this paper
• Multi-objective pattern and feature selection by a genetic algorithm

  2000cited by this paper
• Predicting Aflatoxin Contamination in Peanuts: A Genetic Algorithm/Neural Network Approach

  2000cited by this paper
• Predicting Gene Function from Gene Expressions and Ontologies

  2000cited by this paper
• Intelligence Through Simulated Evolution: Forty Years of Evolutionary Programming

  1999cited by this paper
• Optimal spacing and cultivation intensity for an industrialized crop production system

  1999cited by this paper
• Survival of the fittest - genetic algorithms versus evolution strategies in the optimization of systems models

  1999cited by this paper
• Matchings and phylogenetic trees.

  1998cited by this paper
• Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications

  1998influential reference
• Feature selection by a genetic algorithm. Application to seed discrimination by artificial vision

  1998cited by this paper
• Genetic Algorithms and Grouping Problems

  1998cited by this paper
• A genetic algorithm for maximum-likelihood phylogeny inference using nucleotide sequence data.

  1998cited by this paper
• MODELTEST: testing the model of DNA substitution

  1998cited by this paper
• Comparison of multilayer perceptron and probabilistic neural networks in artificial vision. Application to the discrimination of seeds

  1997cited by this paper
• No free lunch theorems for optimization

  1997cited by this paper
• Management of water resources using improved genetic algorithms

  1997cited by this paper
• Applications of artificial neural networks and genetic algorithms to agricultural systems

  1997cited by this paper
• Optimization of heat treatment for fruit during storage using neural networks and genetic algorithms

  1997cited by this paper
• RAGA: RNA sequence alignment by genetic algorithm.

  1997cited by this paper
• Reduction of the size of the learning data in a probabilistic neural network by hierarchical clustering. Application to the discrimination of seeds by artificial vision

  1996cited by this paper
• No Free Lunch Theorems for Search

  1995cited by this paper
• Molecular genetics of speciation and human origins.

  1994cited by this paper
• The genetic data environment an expandable GUI for multiple sequence analysis

  1994influential reference
• A user's guide to tabu search

  1993cited by this paper
• Evolution and Optimum Seeking: The Sixth Generation

  1993cited by this paper
• Punctuated equilibrium and criticality in a simple model of evolution.

  1993cited by this paper
• Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

  1992cited by this paper
• Operational planning in horticulture: Optimal space allocation in pot-plant nurseries using heuristic techniques*

  1992cited by this paper
• On the efficiency of Gaussian adaptation

  1991cited by this paper
• the utility of using the genetic algorithm approach on the problem of Davis, L. (1991), Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York.

  1991cited by this paper
• On the dominance ratio

  1990cited by this paper
• Handbook Of Genetic Algorithms

  1990cited by this paper
• The origin of mutants

  1988cited by this paper
• Simulated Annealing: Theory and Applications

  1987cited by this paper
• Genetic Algorithms and Simulated Annealing

  1987cited by this paper

• Connecting the Computer Skills with General Performance of Companies—An Eastern European Study

  2024cites this paper
• The Genetic Algorithm (GA) in Relation to Natural Evolution

  2022cites this paper
• An optimization model for combined selecting, planting and harvesting sugarcane varieties

  2020cites this paper
• A review on genetic algorithm: past, present, and future

  2020cites this paper
• Determination of Selection Method in Genetic Algorithm for Land Suitability

  2016cites this paper
• Structure vs. Property: Algorithms and Models Thesis of Habilitation

  2012cites this paper