This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …

Phase change materials (PCMs) are one of the promising technologies for the carbon
neutral future, since they can be effectively used for thermal energy storage (TES), and …

In the past years a great variety of nature-inspired algorithms have proven their ability to
efficiently handle combinatorial optimization problems ranging from design and form finding …

In benchmarking theory, creating a comprehensive and uniformly distributed set of problems
is a crucial first step to designing a good benchmark. However, this step is also one of the …

Non-parametric tests can determine the better of two stochastic optimization algorithms
when benchmarking results are ordinal—like the final fitness values of multiple trials—but for …

A new mechanism for the adaptation of the population size in differential evolution (DE) is
described. The adaptive mechanism is based on linear reduction of the population diversity …

In this paper, a visual analysis methodology is proposed to perform comparative analysis of
guided random algorithms such as evolutionary optimization algorithms and community …

The backtracking search optimization algorithm (BSA) is a new nature‐inspired method
which possesses a memory to take advantage of experiences gained from previous …

A new variant of differential evolution algorithm is proposed. The new variant is a
modification of the success-history based parameter adaptation of differential evolution …

Successful adaptive variant of differential evolution, the Success-history based parameter
adaptation of Differential Evolution using linear population size reduction algorithm (L …