Grey wolf optimizer (GWO) algorithm is a relatively novel population-based optimization
technique that has the advantage of less control parameters, strong global optimization …

Abstract Recently, Gandomi and Alavi proposed a meta-heuristic optimization algorithm,
called Krill Herd (KH). This paper introduces the chaos theory into the KH optimization …

Optimization is a classical issue and in many areas that are bound up with people's daily life.
In current decades, with the development of human civilization and industry society, many …

This paper explores biogeography-based learning particle swarm optimization (BLPSO).
Specifically, based on migration of biogeography-based optimization (BBO), a new …

For the purpose of enhancing the search ability of the cuckoo search (CS) algorithm, an
improved robust approach, called HS/CS, is put forward to address the optimization …

In this paper, we intend to propose a new heuristic optimization method, called animal
migration optimization algorithm. This algorithm is inspired by the animal migration behavior …

Krill herd (KH) has been proven to be an efficient algorithm for function optimization. For
some complex functions, this algorithm may have problems with convergence or being …

Objective. Considering the importance and the near-future development of noninvasive
brain–machine interface (BMI) systems, this paper presents a comprehensive theoretical …

This paper presents a novel binary monarch butterfly optimization (BMBO) method, intended
for addressing the 0–1 knapsack problem (0–1 KP). Two tuples, consisting of real-valued …

The discounted {0-1} knapsack problem (DKP) extends the classical 0-1 knapsack problem
(0-1 KP) in which a set of item groups is included and each group consists of three items …