The resource-constrained project scheduling problem is to schedule activities subject to
precedence and resource constraints such that the makespan is minimized. It has become a …

This paper surveys single-project, single-objective, deterministic project scheduling
problems in which activities can be processed using a finite or infinite (and uncountable) …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

This paper focuses on three very similar evolutionary algorithms: genetic algorithm (GA),
particle swarm optimization (PSO), and differential evolution (DE). While GA is more suitable …

Compared with traditional Internet of Vehicles (IoV) in highways or suburban areas,
maintaining network connectivity and stability is an important challenge for IoV in an urban …

A hybrid wind/photovoltaic/fuel cell generation system is designed to supply power demand.
The aim of this design is minimization of annualized cost of the hybrid system over its 20 …

In this paper, we propose a particle swarm optimization (PSO) based hyper-heuristic
algorithm for solving the resource constrained project scheduling problem (RCPSP). To the …

In this paper we present a genetic algorithm for the multi-mode resource-constrained project
scheduling problem (MRCPSP), in which multiple execution modes are available for each of …

A particle swarm optimization algorithm with crossover operation (PSOCO) is proposed. In
the proposed PSOCO, two different crossover operations are employed in order to breed …

In this paper, a multi-objective algorithm is presented for optimal power management and
design of a hybrid Wind/Photovoltaic/generation system with hydrogen energy storage …