A situation where the set of initial solutions lies near the position of the true optimality (most
favourable or desirable solution) by chance can increase the probability of finding the true …

This paper introduces a new method called the Mayfly Algorithm (MA) to solve optimization
problems. Inspired from the flight behavior and the mating process of mayflies, the proposed …

Scheduling has an immense effect on various areas of human lives, be it though its
application in manufacturing and production industry, transportation, workforce allocation, or …

This paper combines the tabu search process with a genetic algorithm by employing a new
partial opposed-based as the population initialization technique to minimize makespan …

Due to the performance benefits and increasing customer environmental awareness,
recycling end-of-life power batteries have drawn more attention. Remanufacturing has been …

Under the background of the popularity of household gas-electric equipment, an interval
optimization method considering the Integrated Demand Response (IDR) and tolerance …

Priority rules are one of the most common and popular approaches to real-time scheduling.
Over the last decades, several methods have been developed to generate rules …

We propose herein an extended power forecasting-based coordination dispatch method for
PV power generation microgrid with plug-in EVs (PVEVM) to improve the local consumption …

Reinforcement learning (RL) has emerged as a promising approach for scheduling
semiconductor operations. Yet, it is still challenging to solve large-scale scheduling …

Scheduling problems constitute an important part in many everyday systems, where a
variety of constraints have to be met to ensure the feasibility of schedules. These problems …