Roulette-tournament selection for shrimp diet formulation problem
Rosshairy Abd Rahman, Razamin Ramli
Abstract
Rosshairy Abd Rahman, Razamin Ramli
Abstract
This paper aims to propose a new selection procedure for real value encoding problem, specifically for shrimp diet problem.This new selection is a hybrid between two well-known selection procedure; roulette wheel selection and binary tournament selection.Shrimp diet problem is investigated to understand the hard constraints and the soft constraints involved.The comparison between other existing selections is also described for evaluation purposes.The result shows that roulette-tournament selection is better in terms of number of feasible solutions achieved and thus suitable for real value encoding problem.However, the combination with other crossover or mutation might be investigated to find the most suited combination that can obtain better best so far solution.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper aims to propose a new selection procedure for real value encoding problem, specifically for shrimp diet problem.This new selection is a hybrid between two well-known selection procedure; roulette wheel selection and binary tournament selection.Shrimp diet problem is investigated to understand the hard constraints and the soft constraints involved.The comparison between other existing selections is also described for evaluation purposes.The result shows that roulette-tournament selection is better in terms of number of feasible solutions achieved and thus suitable for real value encoding problem.However, the combination with other crossover or mutation might be investigated to find the most suited combination that can obtain better best so far solution.
Key concepts: Fitness proportionate selection, Tournament selection, Roulette, Tournament, Selection (genetic algorithm), Crossover, Encoding (memory), Mathematical optimization