Over past few decades, swarm intelligent algorithms based on the intelligent behaviors of
social creatures have been extensively studied and applied for all kinds of optimization …

This paper presents an efficient double-layer ant colony optimization algorithm, called DL-
ACO, for autonomous robot navigation. This DL-ACO consists of two ant colony algorithms …

This paper presents an effective metaheuristic algorithm called teaching learning-based
optimization which is widely applied to solve the various real-world optimization problems …

Teaching-Learning-based Optimization is an optimization technique which does not require
any algorithm-specific parameters and is popular for its less computational cost and high …

The genome sequence project of the human malaria parasite Plasmodium falciparum reveal
variations in the parasite DNA sequence. Most of these variations are single nucleotide …

Hybrid electric vehicle (HEV) control strategy is a management approach for generating,
using, and saving energy. Therefore, the optimal control strategy is the sticking point to …

We show that negative dielectrophoresis (DEP) spectroscopy is an effective transduction
mechanism of a biosensor for the detection of single nucleotide polymorphism (SNP) in a …

Genetic algorithm with small population size for search feasible control parameters for parallel
hybrid electric vehicles Page 1 AIMS Energy, 5(6): 930-943. DOI: 10.3934/energy.2017.6.930 …

In the recent era, evolutionary meta-heuristic algorithms is popular research area in
engineering and scientific field. One of the intelligent evolutionary meta-heuristic algorithms …

Primers are critical for polymerase chain reaction (PCR) and influence PCR experimental
outcomes. Designing numerous combinations of forward and reverse primers involves …