In the paper, we give illustrated reviews, new approaches and results of how rcps –problems are being solved with Hybrid algorithm’s. Firstly, considering Hybrid Genetic Algorithm (HGA), Vicente a et al 2007, introducing many changes in Genetic algorithm (GA) paradigm, resulting in HGA giving fast and high quality algorithms out performing state-of-the-art-algorithm (SOTAA). for rcps-problem. S...

Climate change is projected to cause substantial alterations in vegetation distribution, but these have been given little attention in comparison to land use in the Representative Concentration Pathway (RCP) scenarios. Here we assess the climate-induced land cover changes (CILCC) in the RCPs and compare them to land use land cover change (LULCC). To do this, we use an ensemble of simulations wi...

In resource-constrained project scheduling (RCPS) problems, ongoing tasks are restricted to utilizing a fixed number of resources. This paper investigates a dynamic version of the RCPS problem where the number of tasks varies in time. Our previous work investigated a technique called mapping of task IDs for centroid-based approach with random immigrants (McBAR) that was used to solve the dynami...

Random convex programs (RCPs) are convex optimization problems subject to a finite number N of random constraints. The optimal objective value J∗ of an RCP is thus a random variable. We study the probability with which J∗ is no longer optimal if a further random constraint is added to the problem (violation probability, V ∗). It turns out that this probability rapidly concentrates near zero as ...

Stratospheric water vapour (SWV) is an important component of the Earth’s atmosphere as it affects both radiative balance and the chemistry of the atmosphere. Key processes driving changes in SWV include dehydration of air masses transiting the cold-point tropopause (CPT) and methane oxidation. We use a chemistry–climate model to simulate changes in SWV through the 21st century following the fo...

The paper focuses on solving the ResourceConstrained Project Scheduling (RCPS) problem with a method based on intelligent agents. Parallelism for performing the tasks is allowed. Common and limited resources are available to all agents. The agents are non-cooperative and compete with each other for the use of common resources, thereby forming instances of RCPS problem. We analyze the global joi...

An Evolutionary algorithm for resource constrained project scheduling (RCPS) problem is proposed with the objective to minimize project duration (makespan). The algorithm is tested with standard data sets given by Kolisch library for J30 and J60 and found to be performing well. General Terms Project Scheduling, Resources.

Two LHC injection kicker magnet systems must produce a kick of 1.3 T.m each with a flattop duration of 4.25 μs or 6.5 μs, a rise time of 900 ns, and a fall time of 3 μs. The ripple in the field must be less than ±0.5%. The electrical circuit of the complete system has been simulated with PSpice[3]. The model includes a 66 kV resonant charging power supply (RCPS), a 5 Ω pulse forming network (PF...

A new generation of an Earth system model now includes a number of land-surface processes directly relevant to analyzing potential impacts of climate change. This model, HadGEM2-ES, allows us to assess the impacts of climate change, multiple interactions, and feedbacks as the model is run. This paper discusses the results of centuryscale HadGEM2-ES simulations from an impacts perspective – spec...