crossover operator
PSO with crossover operator applied to feature selection problem in classification
... with crossover operator (denoted as PSOCO1 and PSOCO2); the algorithms are based on the integration of a particle swarm optimization (PSO) and a crossover operator (CO) of the genetic ...a ...
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A Comparative Study on the Effect of used Crossover Operator on Performance of GA as a Web Page Classifier
... different crossover operators (single- point, two-point and ring), is used by GA for classification web pages and presented by Ozel et al [4], is ...two-point crossover operator has higher accuracy ...
6
Hybrid Genetic Algorithm and Mixed Crossover Operator for Optimizing TSP
... novel crossover operator that uses the principle of Tabu ...proposed crossover retains the best combination of alleles and avoids the introduction of worst combination of alleles in the ...proposed ...
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A Study of Crossover Operators for Genetic Algorithm and Proposal of a New Crossover Operator to Solve Open Shop Scheduling Problem
... performing crossover of ...various crossover operators with a proper illu- ...new crossover operator proposed by the authors of the ...new crossover operator by considering an ...
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Multi-objective optimisation of water distribution systems using a genetic algorithm embedded with an enhanced evolutionary direction crossover operator
... The underlying principle behind the method proposed here is that the children generated through the standard selection, crossover and mutation operators do not necessarily improve the population. The exploration ...
8
Synthesis of MIMO System with Scattering Using Binary Whale Optimization Algorithm with Crossover Operator
... The whale optimization algorithm (WOA) as a nature-inspired algorithm exhibits unique features such as robustness and practical convenience [13]. Such advantages motivate us to resort to the WOA algorithm to solve the ...
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Optimized Crossover Genetic Algorithm to Minimize the Maximum Lateness of Single Machine Family Scheduling Problems
... We gradually construct the proposed algorithm from the standard GA. The differences between the OCGA and SGA are with regards to the use of the crossover operator, reproduction procedure and the replacement ...
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Enhanced Order Crossover for Permutation Problems
... Order crossover operator for genetic algorithm that generates high quality solutions to the Traveling Salesman Problem (TSP) ...of crossover operator and schemata preserving process in ...
7
Segmentation of Noisy Binary Images Containing Irregular Shaped Objects using Genetic Algorithm
... GA has been successfully employed for the image segmentation of 2-D binary images containing irregular- shaped objects and corrupted with Poisson, salt and pepper, Gaussian and Speckle type of noises with varying ...
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A Hierarchical Gene-Set Genetic Algorithm
... mutation operator is proposed, which can make several neighboring genes to simultaneously ...gene-set crossover operator is also designed to choose the crossover points at the boundary of gene ...
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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE
... the operator. The uniform crossover operator exchanges the alleles of two loci with probability of ...uniform crossover, there always is a relationship between the parents and the resulted ...
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Differential Evolution with Control Parameters Pool for Economic Dispatch including Multiple Fuels and Valve Point Effects
... and crossover operator are employed in the proposed approach to find global or near global optimal solution for the economic dispatch with multiple fuel options and valve point ...
7
SOLUTION OF TRAVELING SALESMAN PROBLEM ON SCX BASED SELECTION WITH PERFORMANCE ANALYSIS USING GENETIC ALGORITHM
... of crossover is ...SCXBS operator with compare to the Traditional GA (with roulette wheel selection and Ordered crossover operator) the experiment has been done on different no of cities ( ...
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On minimizing coding operations in network coding based multicast: an evolutionary algorithm
... new crossover operator and a neighbourhood search operator, to effectively solve the highly complex problem being ...new crossover is based on logic OR operations to each pair of selected ...
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A Genetic Algorithm Approach for Multiuser Scheduling on the LTE Downlink
... various crossover, mutation and selection opera- tors introduced with records of success within the ...non-standard crossover and mutation operators are preferred to ...The crossover operator ...
6
A study of genetic operators for the Workforce Scheduling and Routing Problem
... for crossover and mutation ...repair operator was executed to reduce the number of soft constraints violations while maintaining a flow of feasible ...mutation operator was combined with one ...
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Hybrid Evolutionary Algorithm based solution for Register Allocation for Embedded Systems
... novel crossover operator for graph coloring register allocation problem for embedded systems, based on hybrid evolutionary ...specific crossover and local search ...
7
An Evolutionary Approach to Intrusion Detection System using Genetic Algorithm
... GA evolves the population of chromosomes (individuals) as the process of natural selection [12]. It generate(s) new chromosome(s) (offspring) during its process. GA process uses a set of genetic operators (selection ...
6
Operator inequalities associated with relative operator entropies
... relative operator entropy T λ (A|B) is a one-parameter extension of relative operator entropy S(A|B) in the sense that lim λ →0 T λ (A|B) = ...relative operator entropy the reader is referred to [6], ...
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Inequalities for the composition of Green’s operator and the potential operator
... We first establish the L p -norm inequalities for the composition of Green’s operator and the potential operator. Then we develop the L ϕ -norm inequalities for the composition in the L ϕ -averaging domains. ...
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