During the past decade, solving complex optimization problems with metaheuristic
algorithms has received considerable attention among practitioners and researchers …

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 …

The multiple traveling salesperson problem (MTSP) is similar to famous traveling
salesperson problem (TSP) except for the fact that there are more than one salesperson to …

This paper studies a hybrid artificial bee colony (ABC) algorithm for finding high quality
solutions of the job-shop scheduling problem with no-wait constraint (JSPNW) with the …

This paper presents a model for maintenance scheduling (MS) of generators using hybrid
improved binary particle swarm optimization (IBPSO) based coordinated deterministic and …

Abstract The Internet of Things (IoT) makes IoT devices more vulnerable to cyberattacks,
especially Distributed Denial of Service (DDoS), raising privacy and security issues …

This paper addresses a newly introduced variant of traveling salesman problem, viz. k-
Interconnected Multi-Depot Multi-Traveling Salesman Problem (k-IMDMTSP). This problem …

A novel multi-objective evolutionary algorithm (MOEA) is developed based on imperialist
competitive algorithm (ICA), a newly introduced evolutionary algorithm (EA). Fast non …

Particle swarm optimization (PSO) is a powerful stochastic evolutionary algorithm based on
swarm intelligence. However, the canonical PSO is easily and prematurely trapped in the …

Production scheduling is one of the most critical issues in manufacturing and production
systems and has markedly positive impact on the performances of manufacturing. In the past …