The management of natural resources based on socio-economic and ecology development
has led to a focus on the bioeconomy in the policy discourse of non-timber forest products …

Meta-heuristic algorithms inspired by biological species have become very popular in recent
years. Collective intelligence of various social insects such as ants, bees, wasps, termites …

The travelling salesman problem (TSP) belongs to the class of NP-hard problems, in which
an optimal solution to the problem cannot be obtained within a reasonable computational …

The nature is an intrinsic basis of idea for researchers continuously working in the area of
optimization. The Artificial Bee Colony (ABC) algorithm imitates the foraging behavior of real …

In this study, the modified SINTACS method, a rating-based groundwater vulnerability
approach, was applied to data from the Campanian Plain, southern Italy, to identify …

The growth amount of information on the Web makes it difficult for many web users to make
decision and choose either information or goods. Thus, a recommender system is an …

A thermoelectric module was modeled and analyzed in COMSOL Multiphysics using a finite
element method (FEM). An optimum coefficient of performance of 0.4 is achieved at an …

In supply chain network (SCN) management, multi-objective Pareto optimization means the
network can meet the demand for both minimal cost and minimal lead-time in SCN. Due to …

Machine learning techniques lend themselves as promising decision-making and analytic
tools in a wide range of applications. Different ML algorithms have various hyper …

With the ever-growing energy demand and coupled with the issues of reliability. Microgrids
powered by distributed conventional and renewable energy sources can be utilized to …