Several problems in the domains of project management (PM) and operations research (OP) can be classified as optimization which are classically NP-Hard. One such highly important problem is resource constrained scheduling (RCPSP). The main aim this to find a schedule lowest optimum makespan complete project, involves well precedence constraints. But, being NP-Hard, RCPSP requires exponential co...

The latest technology milestone drives the fashion industry to implement on-demand production services. This study introduces a decision-making scheme in manufacturing scheduling of garment using hybrid metaheuristic model meet consumer demand digital economy as quickly possible. Then we conduct computational experiments based on real-world case and compare method with existing approaches. expe...

In this paper we present a hybrid metaheuristic approach called PVS (Progress and Verify Strategy) for the two-dimensional strip packing problem (2SPP). relies on two procedures: local search algorithm that delivers satisfying placements of items horizontal axis, an exact procedure searches positions vertical axis. This last one explores all possibilities, starting with most promising ones, can...

Haplotype Inference is a challenging problem in bioinformatics that consists in inferring the basic genetic constitution of diploid organisms on the basis of their genotype. This information allows researchers to perform association studies for the genetic variants involved in diseases and the individual responses to therapeutic agents. A notable approach to the problem is to encode it as a com...

Slope stability assessment is a critical research area in civil engineering. Disastrous consequences of slope collapse necessitate better tools for predicting their occurrences. This research proposes a hybrid Artificial Intelligence (AI) for slope stability assessment based on metaheuristic and machine learning. The contribution of this study to the body of knowledge is multifold. First, advan...

In this paper a hybrid algorithm to solve Irregular Strip Packing problems is presented. The metaheuristic simulated annealing is used to guide the search over the solution space while linear programming models are solved to generate neighbourhoods during the search process. These linear programming models, which are used to locally optimise the layouts, derive from the application of compactio...

This article presents sequential and parallel metaheuristics to solve the virtual machines subletting problem in cloud systems, which deals with allocating virtual machine requests into prebooked resources from a cloud broker, maximizing the broker profit. Three metaheuristic are studied: Simulated Annealing, Genetic Algorithm, and hybrid Evolutionary Algorithm. The experimental evaluation over...