Sentence examples for a fitness assignment from inspiring English sources

The first case utilizes the DT to improve NSGA-II as a fitness assignment strategy.

Additionally, we employ a complete nondominance selection so as to ensure maximal pressure for proximity exploitation while a fitness assignment determined by dominance and population diversity information is simultaneous used to ensure maximal diversity preservation.

A hierarchical fitness assignment method, which is based on statistical test results, is designed to generate uniquely easy (or hard) problem instances for an algorithm.

Calculate n r according to the controlled elitism scheme; Sort F r in descending order using crowded comparison; Put the first n r members of F r in P, i.e., P = P∪F r [1:n r ]; r = r + 1. Step 4 (Fitness assignment): Assign fitness to each individual according to its position in P; Step 5 (Reproduction).

We propose an enhanced fitness assignment method to improve the preference-inspired coevolutionary algorithm using goal vectors (PICEA-g) in the optimization process minimizing, simultaneously, the annualized cost of system (ACS), the loss of power supply probability (LPSP) and the fuel emissions.

In a simple model of random fitness assignment, viable phenotypes are likely to form a giant connected cluster percolating throughout the phenotype space provided the viability probability is larger than 1/2n.

Kumar et al. (2014) also introduced a genetic algorithm with new fitness assignment procedure and tested the algorithm on standard benchmark problems.

Based on a fine-grained decomposition and following the main issues of fitness assignment, diversity preservation and elitism, a conceptual model is proposed and is validated by regarding a number of state-of-the-art algorithms as simple variants of the same structure.

The MOEA makes direct use of the dominance relation for fitness assignment instead of a fitness score in one-dimensional objective space.

A Pareto-optimal energy function was constructed using rank-based fitness assignment.

In the second stage, extraction of the TSK type fuzzy rule-based system for each cluster will be carried out by means of an efficient genetic learning algorithm that uses symbiotic evolution for fitness assignment.