As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …

Swarm intelligence algorithms are a subset of the artificial intelligence (AI) field, which is
increasing popularity in resolving different optimization problems and has been widely …

This paper proposes a new metaheuristic optimization algorithm based on ancient war
strategy. The proposed War Strategy Optimization (WSO) is based on the strategic …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

This paper presents a novel bio-inspired algorithm called Seagull Optimization Algorithm
(SOA) for solving computationally expensive problems. The main inspiration of this algorithm …

This paper proposes a novel optimization algorithm, called Emperor Penguin Optimizer
(EPO), which mimics the huddling behavior of emperor penguins (Aptenodytes forsteri). The …

In order to solve the critical issues in Wireless Sensor Networks (WSNs), with concern for
limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method …

Abstract Recently developed Harris Hawks Optimization has virtuous behavior for finding
optimum solution in search space. However, it easily get trapped into local search space for …

With the explosion of data generation, getting optimal solutions to data driven problems is
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …