Abstract Social Group Optimization (SGO), developed by Satapathy et al. in the year 2016, is
a class of meta-heuristic optimization inspired by social behavior. It has two phases …

Contemporary real-world optimization benchmarks are subject to many constraints and are
often high-dimensional problems. Typically, such problems are expensive in terms of …

Biogeography-based optimization (BBO) is an evolutionary optimization algorithm that uses
migration to share information among candidate solutions. One limitation of BBO is that it …

This paper proposes a multi-population adaptive version of inflationary differential evolution
algorithm. Inflationary differential evolution algorithm (IDEA) combines basic differential …

This paper develops a novel algorithm to solve real-world constrained optimization
problems, which hybridizes multiobjective optimization techniques with an ϵ-constrained …

In this paper a Multi-Population Inflationary Differential Evolution algorithm with Adaptive
Local Restart is presented and extensively tested over more than fifty test functions from the …

In this paper, a novel reinforcement learning method inspired by the way humans learn from
others is presented. This method is developed based on cellular learning automata featuring …

The adaptive population-based simplex (APS) algorithm is a recently-proposed optimization
method for solving continuous optimization problems. In this paper, a new variant of APS …

Abstract The Intellects-Masses Optimizer (IMO) is a recently-proposed cultural algorithm,
which is easy to understand, use, and implement. IMO requires (almost) no parameter tuning …

A new algorithm called LSHADE-RSP, which is based on a modification of the Differential
Evolution technique, namely the LSHADE algorithm, with a rank-based selective pressure …