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A Multi-Population Hybrid Genetic Programming System

A Multi-Population Hybrid Genetic Programming System

... GS mutation corresponds to a ball mutation that induces a unimodal fitness land- scape [Van17] in supervised learning problems. A unimodal fitness landscape is that which is constituted by a single local optimum: the ... See full document

77

Alignment-based genetic programming for real life applications

Alignment-based genetic programming for real life applications

... generate multi-individuals that have this kind of ...generating multi-individuals that have identical semantics, GP may still push the evolution toward the generation of multi-individuals whose ... See full document

20

A MULTI-POPULATION GENETIC ALGORITHM FOR TREE-SHAPED NETWORK DESIGN PROBLEMS

A MULTI-POPULATION GENETIC ALGORITHM FOR TREE-SHAPED NETWORK DESIGN PROBLEMS

... lems of the real life instances; and have also been used extensively in a wide variety of communica- tion network design problems (Gen et al., 2001; Gen et al., 2005). For example, some authors have pro- posed GAs for ... See full document

6

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

... linear programming [5], dynamic programming [6, 7], and geometric programming [8, 9] have been used to solve optimization problems of machining parameters in multipass ...colony system, ... See full document

7

Accurate High Performance Concrete Prediction with an Alignment-Based Genetic Programming System

Accurate High Performance Concrete Prediction with an Alignment-Based Genetic Programming System

... As Moraglio and co-authors point out, GSGP has an important drawback: GSOs create much larger offspring than their parents and the fast growth of the individu- als in the population rapidly makes fitness ... See full document

17

Prediction of the Unified Parkinson’s Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators

Prediction of the Unified Parkinson’s Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators

... intelligent system based on genetic programming for the prediction of UPDRS assess- ment, using only data derived from simple, self-administered and non-invasive speech ...The system we ... See full document

9

Genetic Programming Testing Model

Genetic Programming Testing Model

... In genetic programming, genetic algorithm operates on a population of computer programs of varying size and ...or multi-part program consisting of a main program and one or more ... See full document

5

A multi period portfolio selection using chance constrained programming

A multi period portfolio selection using chance constrained programming

... The most common type of genetic algorithm works like this: a population is created with a group of individuals created randomly (chromosomes). The individuals in the population are then evaluated. ... See full document

12

Credit Scoring Using Genetic Programming

Credit Scoring Using Genetic Programming

... employed Genetic Al- gorithms (GA) as a maintenance system for existing scoring systems instead of using GAs for model ...in population leads to deterioration of the models’ discriminative ... See full document

66

Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm

Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm

... the genetic algorithm can fi nd the most feasible ones. Genetic algorithm is an iterative adaptive probabilistic search algorithm; it emulates the evolution rule of “Survival of the fi ttest in natural ... See full document

16

A regression-like classification system for geometric semantic genetic programming

A regression-like classification system for geometric semantic genetic programming

... class classification. Our objective is, if possible, to be able to solve, with success, complex multi-class clas- sification tasks, maintaining the simplicity of the idea presented here. Furthermore, in the ... See full document

9

ON THE USE OF SEMANTIC AWARENESS TO LIMIT OVERFITTING IN GENETIC PROGRAMMING by Paul Englert

ON THE USE OF SEMANTIC AWARENESS TO LIMIT OVERFITTING IN GENETIC PROGRAMMING by Paul Englert

... GP system do not necessarily imply an equal importance of the objectives and therefore the classical multi-objective approach might not create the needed environment to accomplish such ...a ... See full document

82

JISTEM J.Inf.Syst. Technol. Manag.  vol.12 número3

JISTEM J.Inf.Syst. Technol. Manag. vol.12 número3

... mathematical programming such as linear programming, which fails to incorporate real- life characteristics and is not easy to apply in real ...the multi-objective passenger railway scheduling ... See full document

20

Hybrid Genetic Algorithms: A Review

Hybrid Genetic Algorithms: A Review

... pure genetic algorithm and their effectiveness deteriorates with an increasing use of learning in contrast to Lamarckian ...their hybrid to optimize two continuous ...the hybrid performance and found ... See full document

14

Fuzzy goal programming applied to multi-objective programming problem with FREs as constraints

Fuzzy goal programming applied to multi-objective programming problem with FREs as constraints

... goal programming approach is used to obtain compromise optimal solution by minimizing the sum of negative deviational variables in order to achieve highest value of each of fuzzy ... See full document

12

An integrated MCDM approach to green supplier selection

An integrated MCDM approach to green supplier selection

... The nature of MCDM is to make a precise preference for decision makers and to reduce the risk of decision making. Therefore, a decision process needs to be supported by an exact and low risk method with high ... See full document

16

Genetic Algorithm Based PI Controller for Frequency Control of an Autonomous Hybrid Generation System

Genetic Algorithm Based PI Controller for Frequency Control of an Autonomous Hybrid Generation System

... storage system has been an effective energy storage technology to store large amount of wind energy ...the system with a large amount of the power in a short time, or large amount of energy for a longer ... See full document

6

Control of Hybrid System Using Multi-Input Inverter and  Maximum Power Point Tracking

Control of Hybrid System Using Multi-Input Inverter and Maximum Power Point Tracking

... Fig. 3 shows the measured waveforms of gate driving signals, (Vgs1) of (M1) and (Vgs2) of (M2) , and inductor current . Because switches M1and M2 have different duty ratios, the inductor current has two different ... See full document

5

Multy hybrid energy system

Multy hybrid energy system

... With this work, we intend to develop a new energy model that optimizes the energy consumption of Cantina 3, located in Campus 2, of the Polytechnic Institute of Leiria. Another objective will be to reduce dependence on ... See full document

124

Fo rce ( k N )

Fo rce ( k N )

... In this study crashworthiness optimization of nested and concentric circular tubes under impact loading is performed by coupling Finite Element model, Response Surface Models and Genetic Algorithm. Specific Energy ... See full document

16

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