Scheduling is a critical and challenging task in manufacturing systems, especially in large-
scale complex systems like wafer fabrication facilities. Although evolutionary algorithms …

Medical image segmentation is typically performed manually by a physician to delineate
gross tumor volumes for treatment planning and diagnosis. Manual segmentation is …

In this paper, we present two new parallel algorithms to solve large instances of the
scheduling of independent tasks problem. First, we describe a parallel version of the Min …

The assembly line balancing problem is a classical optimisation problem whose objective is
to assign each production task to one of the stations on the assembly line so that the total …

We introduce the integrative cooperative search method (ICS), a multi-thread cooperative
search method for multi-attribute combinatorial optimization problems. ICS musters the …

In this paper, we present a novel implementation of a Cellular Genetic Algorithm (cGA)
model for a multi-GPU platform using NVIDIA's CUDA technology. This multi-GPU cGA …

One of the key impediments to the success of current neuromorphic computing architectures
is the issue of how best to program them. Evolutionary optimization (EO) is one promising …

In this paper, we discuss software design issues related to the development of parallel
computational intelligence algorithms on multi-core CPUs, using the new Java 8 functional …

We present a general picture of the parallel meta-heuristic search for optimization. We recall
the main concepts and strategies in designing parallel metaheuristics, pointing to a number …

Cloud computing is usually used to describe the large-scale distributed infrastructure,
platform and software services provided by third party, which is a hot topic in IT area in …