SIMMER extension for multigroup energy structure search using genetic algorithm with different fitness functions

A Hybrid Algorithm using Firefly, Genetic, and Local Search Algorithms

In this paper, a hybrid multi-objective algorithm consisting of features of genetic and firefly algorithms is presented. The algorithm starts with a set of fireflies (particles) that are randomly distributed in the solution space; these particles converge to the optimal solution of the problem during the evolutionary stages. Then, a local search plan is presented and implemented for searching s...

Efficient evaluation genetic algorithm under integrated fitness functions

First-Principles Molecular Structure Search with a Genetic Algorithm

The identification of low-energy conformers for a given molecule is a fundamental problem in computational chemistry and cheminformatics. We assess here a conformer search that employs a genetic algorithm for sampling the low-energy segment of the conformation space of molecules. The algorithm is designed to work with first-principles methods, facilitated by the incorporation of local optimizat...

Kalman-extended genetic algorithm for search in nonstationary environments with noisy fitness evaluations

In basic genetic algorithm (GA) applications, the fitness of a solution takes a value that is certain and unchanging. There are two classes of problem for which this formulation is insufficient. The first consists of ongoing searches for better solutions in a nonstationary environment, where the expected fitness of a solution changes with time in unpredictable ways. The second class consists of...

Optimization of Noisy Fitness Functions by Means of Genetic Algorithms Using History of Search

This paper discusses optimization of functions with uncertainty by means of Genetic Algorithms (GAs). In practical application of such GAs, possible number of fitness evaluation is quite limited. The authors have proposed a GA utilizing history of search (Memory-based Fitness Evaluation GA: MFEGA) so as to reduce the number of fitness evaluation for such applications of GAs. However, it is also...