In this talk I present a parallel hybrid framework that combines gene expression programming (GEP) as the evolutionary problem­solving methodology and alternative meta­heuristics for tuning parameter values of parallel GEP runs. The implementation of our framework is based on a client­server architecture, including clients that use GEP to evolve candidate solutions for the problem in question, ...

Gene Expression Programming (GEP) is a new technique of Genetic Programming (GP) that implements a linear genotype representation. It uses fixed-length chromosomes to represent expression trees of different shapes and sizes, which results in unconstrained search of the genome space while still ensuring validity of the program’s output. However, GEP has some difficulty in discovering suitable fu...

Abstract Assessment of water surface profile in compound channels is essential for flood defence systems. Agriculture and development activities floodplains affect the floodplain shape over length, leading a converging channel. Few laboratory investigations proved overbank flow floodplains. Therefore, innovative precise approaches are still great demand. In this paper, new approach has been pro...

The differences in duration and amount of precipitation significantly affect the drought due to global climate change last decades. Therefore, is one parameters be considered for sustainable water resources studies. In this study, firstly, by using historical records between years 1975-2010, indices 3-, 6-, 9- 12- months Çanakkale, Bozcaada, Gökçeada stations were determined with standardized i...

For high-dimensional and massive data sets, traditional centralized gene expression programming (GEP) or improved algorithms lead to increased run-time and decreased prediction accuracy. To solve this problem, this paper proposes a new improved algorithm called distributed function mining for gene expression programming based on fast reduction (DFMGEP-FR). In DFMGEP-FR, fast attribution reducti...

Forecasting the prices of metals is important in many aspects of economics. Metal prices are also vital variables in financial models for revenue evaluation, which forms the basis of an effective payment regime using resource policymakers. According to the severe changes of the metal prices in the recent years, the classic estimation methods cannot correctly estimate the volatility. In order to...

due to the heterogeneous nature of granular soils and the involvement of many effective parameters in the geotechnical behavior of soil-foundation systems, the accurate prediction of shallow foundation settlements on cohesionless soils is a complex engineering problem. in this study, three new evolutionary-based techniques, including evolutionary polynomial regression (epr), classical genetic p...

Positive pathogens prediction is the basis of pathogenic spectrum analysis, which is a meaningful work in public health. Gene Expression Programming (GEP) can develop the model without predetermined assumptions, so applying GEP to positive pathogens prediction is desirable. However, traditional time-adjacent sliding window may not be suitable for GEP evolving accurate prediction model. The main...