This special issue consists of five papers that present new trends on metaheuristics and their applications in industrial engineering and science. In the first paper, Marinakis, Marinaki, Matsatsinis and Zopounidis propose a discrete artificial bee colony optimization to solve a financial classification problem involving credit risk assessment. The proposed method uses also local search based c...

This paper proposes a new discrete particle swarm optimization (DPSO) algorithm with a multiplicative likeliness enhancement rule for unordered feature selection. In this paper, the pool of features for face recognition are derived from direct fractional-step linear discriminant analysis (DFLDA). Each particle is associated with a subset of features, and their recognition performance on the val...

The Darwinian Particle SwarmOptimization (DPSO) is an evolutionary algorithm that extends the Particle Swarm Optimization using natural selection to enhance the ability to escape from sub-optimal solutions. An extension of the DPSO to multi-robot applications has been recently proposed and denoted as Robotic Darwinian PSO (RDPSO), benefiting from the dynamical partitioning of the whole populati...

An optimal evacuation route plan has to be established to overcome the problem of poor coordination and uneven distribution of vehicles before or during disaster. This article introduces the evacuation vehicle routing problem (EVRP) as a new variant to the vehicle routing problem (VRP). EVRP is a process of moving vehicles from a vehicle location to the potentially flooded area (PFA), and from ...

offshore jacket-type towers are steel structures designed and constructed in marine environments for various purposes such as oil exploration and exploitation units, oceanographic research, and undersea testing. in this paper a newly developed meta-heuristic algorithm, namely cyclical parthenogenesis algorithm (cpa), is utilized for sizing optimization of a jacket-type offshore structure. the a...

This paper presented a new particle swarm optimization based on evolutionary game theory (EPSO) for the traveling salesman problem (TSP) to overcome the disadvantages of premature convergence and stagnation phenomenon of traditional particle swarm optimization algorithm (PSO). In addition ,we make a mapping among the three parts discrete particle swarm optimization (DPSO)、 evolutionary game the...

In this paper, we consider a generalized the extensible bin packing problem with overload cost, first proposed by Denton et al. [1] in 2010, which total size of items packed into is allowed to exceed its capacity, and cost incurred each equal fixed plus objective minimize all bins. According characteristics problem, propose an improved ant colony optimization algorithm (IACO), enhances positive...

In this paper, an algorithm based on particle swarm optimization is proposed, for hybrid flow shop scheduling problem, to minimize the makespan. First an effective new approach using two decisions based on parallel priority dispatching rules is applied. Next we develop an hybridizing DPSO, that presents new components to updating velocity and position using genetic operators, with an adaptive n...