Swarm intelligence (SI), an integral part in the field of artificial intelligence, is gradually
gaining prominence, as more and more high complexity problems require solutions which …

In the real world, there are a number of optimization problems whose search space is
restricted to take binary values; however, there are many continuous metaheuristics with …

Feature selection is an NP-hard problem to remove irrelevant and redundant features with
no predictive information to increase the performance of machine learning algorithms. Many …

Abstracts This paper proposes a heart disease diagnosis system using rough sets based
attribute reduction and interval type-2 fuzzy logic system (IT2FLS). The integration between …

Purpose The purpose of this paper is to examine the effect of ethical leadership on
employee performance, with the employee engagement and organizational citizenship …

Jaya algorithm is a newly proposed stochastic population-based metaheuristic optimization
algorithm to solve constrained and unconstrained continuous optimization problems. The …

Firefly algorithm (FA) is a new meta-heuristic optimisation algorithm, which simulates the
social behaviour of fireflies based on the flashing and attraction characteristics of fireflies …

During the past few decades digital images have become an important part of numerous
scientific fields. Digital images used in medicine enabled tremendous progress in the …

This paper critically reviews applications of metaheuristics for solving the Transit Route
Network Design Problem (TRNDP). A structured review is offered and prominent …

Firefly algorithm (FA) is a new random swarm search optimization algorithm, which
simulates the mutual attraction and movement process of flashing fireflies. The different …