Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints

QR Code

Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints

Formulating feed for shrimps represents a challenge to farmers and industry partners. Most previous studies selected from only a small number of ingredients due to cost pressures, even though hundreds of potential ingredients could be used in the shrimp feed mix. Even with a limited number of ingred...

Full description

Bibliographic Details
Main Authors:	Rahman, Rosshairy Abd., Kendall, Graham, Ramli, Razamin, Jamari, Zainoddin, Ku-Mahamud, Ku Ruhana
Format:	Article
Published:	Hindawi 2017
Online Access:	https://eprints.nottingham.ac.uk/49722/

Similar Items

Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints
by: Abd Rahman, Rosshairy, et al.
Published: (2017)

Evolutionary algorithm approach for solving animal diet formulation
by: Abd Rahman, Rosshairy, et al.
Published: (2015)

Evolutionary algorithm with roulette-tournament selection for solving aquaculture diet formulation
by: Abd Rahman, Rosshairy, et al.
Published: (2016)

A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation
by: Soong, Cai Juan, et al.
Published: (2016)

POTENTIAL GROUPER FEED FORMULATION BASED ON EVOLUTIONARY ALGORITHM CONCEPT WITH A UNIQUE SELECTION OPERATOR
by: Soong, Cai Juan, et al.
Published: (2018)

Investigating nutrient requirements of grouper fish for feed formulation
by: Soong, Cai Juan, et al.
Published: (2016)

Fish consumption and track to a fish feed formulation
by: Soong, Cai Juan, et al.
Published: (2015)

Nutrients Requirements and Composition in A Grouper Fish Feed Formulation
by: Soong, Cai Juan, et al.
Published: (2016)

Roulette-tournament selection for shrimp diet formulation problem
by: Abd Rahman, Rosshairy, et al.
Published: (2013)

A standard deviation selection in evolutionary algorithm for grouper fish feed formulation
by: Soong, Cai Juan, et al.
Published: (2016)

Ant colony system with heuristic function for the travelling salesman problem
by: Alobaedy, Mustafa Muwafak, et al.
Published: (2013)

Potential grouper feed formulation based on evolutionary algorithm concept with a unique selection operator
by: Soong, Chai Juan, et al.
Published: (2018)

New heuristic function in ant colony system for the travelling salesman problem
by: Alobaedy, Mustafa Muwafak, et al.
Published: (2012)

New heuristic function in ant colony system for job scheduling in grid computing
by: Ku-Mahamud, Ku Ruhana, et al.
Published: (2012)

Evolutionary algorithms and hyper-heuristics for orthogonal packing problems
by: Guo, Qiang
Published: (2011)

Exploring fruit fly evolutionary algorithm in a university examination timetabling environment
by: Abdul Rahman, Syariza, et al.
Published: (2019)

Hyper-heuristic approaches to automatically designing heuristics as mutation operators for evolutionary programming on function classes
by: Hong, Libin
Published: (2018)

Evolutionary algorithms with average crossover and power heuristics for aquaculture diet formulation
by: Rosshairy, Abd Rahman
Published: (2014)

Formulating new enhanced pattern classification algorithms based on ACO-SVM
by: Alwan, Hiba Basim, et al.
Published: (2013)

Analysis and Decentralised Optimal Flow Control of Heterogeneous Computer Communication Network Models
by: Ku Mahamud, Ku Ruhana
Published: (1993)

Keretapi Tanah Melayu - A case study
by: Ku-Mahamud, Ku Ruhana

In - Fusion Solution Sdn. Bhd.
by: Ku-Mahamud, Ku Ruhana

Analysis and decentralised optimal flow control of heterogeneous computer communication network models
by: Ku-Mahamud, Ku Ruhana
Published: (1993)

Big data clustering using grid computing and ant-based algorithm
by: Ku-Mahamud, Ku Ruhana
Published: (2013)

Benchmark simulator with dynamic environment for job scheduling in grid computing
by: Ku-Mahamud, Ku Ruhana
Published: (2014)

An adaptation of social Learning in evolutionary computation for tic-tac-toe.
by: Yaakob, Razali, et al.
Published: (2009)

A genetic programming hyper-heuristic approach for evolving 2-D strip packing heuristics
by: Burke, Edmund K., et al.
Published: (2010)

Prediction accuracy measurements for ensemble classifier
by: Abdullah, ,, et al.
Published: (2012)

Combined nearest mean classifiers for multiple feature classification
by: Abdullah, ,, et al.
Published: (2011)

Ant system-based feature set partitioning algorithm for K-NN and LDA ensembles construction
by: Abdullah, ,, et al.
Published: (2015)

Ant system-based feature set partitioning algorithm for classifier ensemble construction
by: Abdullah, ,, et al.
Published: (2016)

Investigating nutrient requirements of grouper fish for feed formulation
by: Soong, Cai Juan, et al.
Published: (2016)

Perception and use of e-mail: A case study in Universiti Utara Malaysia
by: Mohamed, Shafinah Farvin Packeer, et al.
Published: (2017)

Multi-objective evolutionary algorithms and hyper-heuristics for wind farm layout optimisation
by: Li, Wenwen, et al.
Published: (2017)

A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming
by: Hong, Libin, et al.
Published: (2017)

Computing Nash equilibria and evolutionarily stable states of evolutionary games
by: Li, Jiawei, et al.
Published: (2015)

A multi-objective hyper-heuristic based on choice function
by: Maashi, Mashael, et al.
Published: (2014)

Searching the hyper-heuristic design space
by: Swan, Jerry, et al.
Published: (2014)

Is Evolutionary Computation evolving fast enough?
by: Kendall, G.
Published: (2018)

Hybrid heuristic for multi-carrier transportation plans
by: Landa-Silva, Dario, et al.
Published: (2011)