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Hybrid genetic algorithm

A Hybrid Genetic Algorithm for Constrained Combinatorial Problems: An Application to Promotion Planning Problems

A Hybrid Genetic Algorithm for Constrained Combinatorial Problems: An Application to Promotion Planning Problems

... a Hybrid Genetic Algorithm (HGA) for a combinatorial op- timization problem, motivated by, and a simplification of, a TV Self-promotion As- signment ...

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Convalesce Optimization for Input Allocation Problem Using Hybrid Genetic Algorithm

Convalesce Optimization for Input Allocation Problem Using Hybrid Genetic Algorithm

... 414 Hybrid genetic algorithm: Hybrid Genetic Algorithm (HGA) is a novel genetic algorithm on some additional heuristics which improves the convergence rate of the ...

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A New Hybrid Genetic Algorithm and Tabu Search Method for Yard Cranes Scheduling with Inter-crane Interference

A New Hybrid Genetic Algorithm and Tabu Search Method for Yard Cranes Scheduling with Inter-crane Interference

... new hybrid Genetic Algorithm and Tabu Search method has been developed to resolve the challenging ...new algorithm is superior to GA with its solutions on average 20% better than solutions ...

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Optimization of Turning Operations by Using a Hybrid Genetic Algorithm with Sequential Quadratic Programming

Optimization of Turning Operations by Using a Hybrid Genetic Algorithm with Sequential Quadratic Programming

... new hybrid genetic algorithm by using sequential quadratic programming is used for the optimization of cutting ...The genetic algorithm (GA) is the main optimizer of this ...

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A Hybrid Genetic Algorithm Approach for Concave Minimum Cost Network Flow Problems

A Hybrid Genetic Algorithm Approach for Concave Minimum Cost Network Flow Problems

... In our Hybrid Genetic Algorithm (HGA), we hybridize the GA described below with local search method. Local Search (LS) methods take advantage of the knowledge that an optimal solution to the SSU ...

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A Constructive hybrid genetic algorithm for the flowshop scheduling problem

A Constructive hybrid genetic algorithm for the flowshop scheduling problem

... new Genetic Algorithm ...traditional genetic algorithm, since it has a random function that cannot give such a ...Constructive Genetic Algorithm) and it follows, therefore, all ...

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Hybrid Genetic Algorithms: A Review

Hybrid Genetic Algorithms: A Review

... a hybrid genetic algorithm has a great impact on its ...of hybrid genetic algorithms by comparing them with pure genetic ...pure genetic algorithms in evolving the ...

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Design of microwave filters topologies using a hybrid evolutionary algorithm

Design of microwave filters topologies using a hybrid evolutionary algorithm

... using Genetic Programming was used 127,360,000 circuit evaluations, and the final circuit had 38 components; in [10], using Hybrid Genetic Algorithm, the author did not mention the spent ...

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A hybrid multi-objective genetic algorithm for scheduling heterogeneous workover rigs on onshore oil fields

A hybrid multi-objective genetic algorithm for scheduling heterogeneous workover rigs on onshore oil fields

... a hybrid genetic algorithm to solve the multi-objective workover rig problem with a heterogeneous fleet and a finite time ...The hybrid genetic algorithm incorporates a variable ...

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Creating 3D object descriptors using a genetic algorithm

Creating 3D object descriptors using a genetic algorithm

... a genetic algorithm [Hol75], tries to find the optimal parameters for a 3D cloud descriptor in the vast space of ...The genetic algorithm in some versions also encodes weight parameters, that ...

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A Genetic Algorithm for the Undirected Rural Postman Problem

A Genetic Algorithm for the Undirected Rural Postman Problem

... the algorithm takes into account the fact that the genes to be permuted are not the same probability and that the edges of the transformed graph do not always have the same cost, as elucidated in Section ...

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MIMO array capacity optimization using a genetic algorithm

MIMO array capacity optimization using a genetic algorithm

... a genetic algorithm to obtain the position and orientation of each MIMO array antenna that maximizes the ergodic capacity for a given propagation ...a genetic algorithm (GA)-optimized array is ...

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Overview of Tumor Detection using Genetic Algorithm

Overview of Tumor Detection using Genetic Algorithm

... 2.2.2 Termination : Unlike simple neighborhood search methods that terminate when a local optimum is reached, genetic algorithms are stochastic search methods that could in principle run for ever. In practice, a ...

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Study of genetic algorithm for optimization problems

Study of genetic algorithm for optimization problems

... the Genetic Algorithms to solve non-linear optimization ...the Genetic Algorithm that can be applied to solve several optimization problems, as time schedule, costs minimization, among ...traditional ...

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Multiprocessor Scheduling Using Parallel Genetic Algorithm

Multiprocessor Scheduling Using Parallel Genetic Algorithm

... this algorithm there is a single population (as in sequential GA) but the fitness evaluation and/or application of genetic operators are distributed among different ...the genetic operators ...

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CLUSTERING TWEETS USING CELLULAR GENETIC ALGORITHM

CLUSTERING TWEETS USING CELLULAR GENETIC ALGORITHM

... Cellular Genetic Algorithms cGAs represent a subclass of Genetic Algorithms where the arrangement of the population is decentralized and the concept of small neighborhood is strongly applied, so the ...

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Genetic Algorithm applied to Traffic Control Problems

Genetic Algorithm applied to Traffic Control Problems

... called Genetic Algorithm, aiming to resolve a high complexity of real system, which is associated with the unbalance between the capacity and demand in the air transportation ...

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A genetic algorithm for the ligand-protein docking problem

A genetic algorithm for the ligand-protein docking problem

... “steady-state” genetic algorithm (SSGA) using a grid-based methodology in docking five HIV-1 protease-ligand complexes having known three-dimensional ...implemented genetic algorithm was able ...

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A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION

A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION

... Genetic Algorithm (GA) is one of the powerful optimization methods based on the process of natural ...The algorithm will seek the shortest path from the nest to the food source by maintaining the ...

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Genetic evidence for hybrid trait speciation in heliconius butterflies.

Genetic evidence for hybrid trait speciation in heliconius butterflies.

... cordula genetic background is also expected under the introgression hypothesis (Figure ...melpomene hybrid zone, where long- range LD is observed between sites showing significant genotype- by-phenotype ...

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