From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

Abstract The Academic Scheduling Problems have drawn great interest from many
researchers of various fields, such as operational research and artificial intelligence. Despite …

Particle swarm optimisation (PSO) has been enormously successful. Within little more than a
decade hundreds of papers have reported successful applications of PSO. In fact, there are …

Abstract The Urban Transit Routing Problem (UTRP) comprises an NP-hard problem that
deals with the construction of route networks for public transit networks. It is a highly complex …

In this contribution we present the application of a hybrid cat swarm optimization (CSO)
based algorithm for solving the school timetabling problem. This easy to use, efficient and …

The location of emergency resource centers has always been a great challenge in
emergency management, which directly influences the recovery speed of disaster areas and …

In this contribution a hybrid particle swarm optimization (PSO) based algorithm is applied to
high school timetabling problems. The proposed PSO based algorithm is used for creating …

University timetabling problems are a yearly challenging task and are faced repeatedly each
semester. The problems are considered nonpolynomial time (NP) and combinatorial …

The artificial bee colony (ABC) is a population-based metaheuristic that mimics the foraging
behaviour of honeybees in order to produce high-quality solutions for optimisation problems …

In this paper, we study the personnel task rescheduling problem with time preemption. We
assume a baseline task schedule has been composed some time in advance that has been …