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

Tree-Seed algorithm (TSA) is a recently developed nature inspired population-based
iterative search algorithm. TSA is proposed for solving continuous optimization problems by …

A recently new intelligent optimization algorithm called discrete state transition algorithm is
considered in this study, for solving unconstrained integer optimization problems. Firstly …

In the field of swarm intelligence, the Grey Wolf Optimizer (GWO) is a popular algorithm
based on leadership hierarchy. Primarily, GWO was proposed to solve continuous …

This work presents a Discrete Komodo Algorithm (DKA) to solve the traveling salesman
problem (TSP). Inspired by the Komodo Mlipir Algorithm, a swarm intelligence algorithm …

Abstract The Salp Swarm Algorithm (SSA) is one of the recently proposed swarm
intelligence-based algorithms, which finds its motivation in the swarming behaviour of salps …

Optimizing the routing of resources to multiple remote sites is a complex issue confronting
many sectors of the gas an oil industries with significant cost implications. When significant …

The aim of this paper is to elaborate the performance of Simulated Annealing (SA) algorithm
for solving traveling salesmen problems. In this paper, SA algorithm is modified by using the …

In this paper, a discrete state transition algorithm is introduced to solve a multiobjective
single machine job shop scheduling problem. In the proposed approach, a non-dominated …

Particle Swarm Optimization (PSO) is a commonly used optimization to solve many
problems. The PSO, which is developed for continuous optimization, is updated to solve …