In the past few decades, metaheuristics have demonstrated their suitability in addressing
complex problems over different domains. This success drives the scientific community …

The teaching-learning-based optimization (TLBO) algorithm is finding a large number of
applications in different fields of engineering and science since its introduction in 2011. The …

Optimization algorithms are widely employed for finding optimal solutions in many
applications. Stochastic optimization algorithms including nature-inspired optimization …

Evolutionary algorithms have been shown to be very effective in solving complex
optimization problems. This has driven the research community in the development of novel …

This paper proposes a novel hybrid t-way test generation strategy (where t indicates
interaction strength), called High Level Hyper-Heuristic (HHH). HHH adopts Tabu Search as …

Exploration, the process of visiting a new region in a search space, and exploitation, the
process of searching in the neighborhood of previously visited regions, are two centerpieces …

The flower pollination algorithm (FPA) is a recently proposed metaheuristic inspired by the
natural phenomenon of flower pollination. Since its invention, this star-rising metaheuristic …

In recent years, a plethora of new metaheuristic algorithms have explored different sources
of inspiration within the biological and natural worlds. This nature-inspired approach to …

Nowadays, due to the fact that difficulty of global optimization problems in different fields is
increasing, various methods have been introduced to solve such problems. This paper …

Teaching-learning-based optimization (TLBO) algorithm is a novel nature-inspired algorithm
that mimics the teaching and learning process. In this paper, an improved version of TLBO …