Gene expression programming has been shown to be an important algorithm in the optimisation of complex systems. However, it has many more operators and parameters than standard genetic programming, each of which needs to be set when applying the algorithm to new problems. In this paper, an adaptive approach for setting probabilities for genetic operators in gene expression programming (GEP) usi...

A comparison between four evolutionary techniques for solving symbolic regression problems is presented in this paper. The compared methods are multi-expression programming, gene expression programming, grammatical evolution, and linear genetic programming. The comparison includes all aspects of the considered evolutionary algorithms: individual representation, fitness assignment, genetic opera...

this paper presents a genetic algorithm (ga) for solving a generalized model of single-item resource-constrained aggregate production planning (app) with linear cost functions. app belongs to a class of pro-duction planning problems in which there is a single production variable representing the total production of all products. we linearize a linear mixed-integer model of app subject to hiring...

although there is enough knowledge indicating on the influence of frequency content of input motion on the deformation demand of structures, state-of-the-practice seismic studies use the intensity measures such as peak ground acceleration (pga) which are not frequency dependent. the v max/a max ratio of strong ground motions can be used in seismic hazard studies as the representative of frequen...

due to its critical impact and significant destructive nature during and after seismic events, soil liquefaction and liquefactioninduced lateral ground spreading have been increasingly important topics in the geotechnical earthquake engineering field during the past four decades. the aim of this research is to develop an empirical model for the assessment of liquefaction-induced lateral ground ...

in manufacturing industry, it has been acknowledged that tool wear prediction has an important role in higher quality of products and acceptable efficiency. being an emerging area of research in recent years, drilling tool wear is an important factor which directly affects quality parameters of machined hole such as hole centring, roundness, burr formation and finished surface. in this paper, t...

one of the main principles of the passive defense is the principle of site selection. in this paper, we propose a multiple objective nonlinear programming model that considers the principle of the site selection in terms of two qualitative and quantitative aspects. the purpose of the proposed model is selection of the place of key production facilities of a system in which not only it observes ...

The goal of automatic programming is to create, in an automated way, a computer program that enables a computer to solve a problem. Ideally, an automatic programming system should require that the user pre-specify as little as possible about the problem environment. In particular, it is desirable that the user not be required to prespecify the architecture of the ultimate solution to his proble...

Gene Expression Programming (GEP) is a new evolutionary algorithm that incorporates both the idea of simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and the ramified structure of different sizes and shapes used in Genetic Programming (GP). Same as other genetic programming algorithms, GEP has difficulty finding appropriate numeric constants for terminal nodes in the e...

The goal of automatic programming is to create, in an automated way, a computer program that enables a computer to solve a problem. Ideally, an automatic programming system should require that the user pre-specify as little as possible about the problem environment. In particular, it is desirable that the user not be required to prespecify the architecture of the ultimate solution to his proble...