This article presents a comprehensively state-of-the-art investigation of the engineering
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …

The current state of Association Rule Mining (ARM) technology is heading towards a critical
yet profitable direction. The ARM process uncovers numerous association rules, determining …

Most of the optimization problems encountered in the real world are discrete type which
involves decision variables defined in the discrete search space. Binary optimization …

Feature selection is the basic pre-processing task of eliminating irrelevant or redundant
features through investigating complicated interactions among features in a feature set. Due …

This study proposes a novel binary version of the artificial bee colony algorithm based on
genetic operators (GB-ABC) such as crossover and swap to solve binary optimization …

This study addresses flexible job shop scheduling problem (FJSP) with two constraints,
namely fuzzy processing time and new job insertion. The uncertainty of processing time and …

One of the most well-known binary (discrete) versions of the artificial bee colony algorithm is
the similarity measure based discrete artificial bee colony, which was first proposed to deal …

Abstract The Artificial Bee Colony (ABC) algorithm is a swarm intelligence approach which
has initially been proposed to solve optimisation of mathematical test functions with a unique …

Jaya is a population-based heuristic optimization algorithm proposed for solving constrained
and unconstrained optimization problems. The peculiar distinct feature of Jaya from the …

Demand response (DR) is the response of electricity consumers to time-varying tariffs or
incentives awarded by the utility. Home energy management systems are systems whose …