As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …

Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …

In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

Metaheuristic algorithms have been an interesting area for researchers, scientists and
academicians due to their specific and significant characteristics and capabilities. Their …

Image steganography and watermarking have demonstrated their efficiency in creating a
covert communication channel and in digital image authentication respectively. The …

Metaheuristic algorithms have been an interesting and widely used area for scientists,
researchers and academicians because of their specific and significant characteristics and …

This paper introduces an original algebraic approach to differential evolution (DE)
algorithms for combinatorial search spaces. An abstract algebraic differential mutation for …

This work introduces an automatic classification system for measuring the complexity level of
a given Italian text under a linguistic point-of-view. The task of measuring the complexity of a …

Particle Swarm Optimization (PSO), though being originally introduced for continuous
search spaces, has been increasingly applied to combinatorial optimization problems. In …