The first experiments with genetic algorithms generating applications did so in BASIC, C, and other human-readable languages. While these programs nearly worked, there were far too many ...

Genetic programming uses mutation and replication to produce algorithms that represent the "survival of the fittest." While genetic algorithms yield numbers, genetic programs yield ever-improving ...

The term genetic algorithm is used by computer science and operations researchers to describe a partial search algorithm inspired by Darwin’s Theory of Natural Evolution. In this case, Barfar and ...

Genetic programming algorithm can optimise new areas of construction to increase the efficiency of the residential timber construction design process as a whole.

Dr Eva Christodoulaki BSc, MSc, PhD Expertise Genetic Programming Algorithmic Trading Financial Stability Financial Markets Sentiment Analysis Fundamental Analysis Technical Analysis Computational ...

In this paper, we pose the goal programming problem as a multi-objective optimization problem of minimizing deviations from individual goals and then suggest an evolutionary optimization algorithm to ...

An AI algorithm based on the genomic database was then used to analyse the DNA of 454,000 human participants in the UK Biobank project, with the results showing “greatly improved genetic risk ...

In order to maximize the efficiency, a heuristic search based algorithm - Genetic Algorithm (GA) is used. The problem is formulated as a multi-objective optimization problem (MOOP) where overall ...