2.RELATED WORK The artificial bee colony (ABC), an optimization technique is based upon the intelligent moving behavior of honey bee swarm was proposed by Karaboga in 2005. This kind of new Meta heuristic is inspired by the clever foraging behavior of honey bee swarm. The criteria presented in the work is for numerical function optimization. The advantage of ABC is that the global search ability in the algorithm is implemented by introducing neighborhood source production mechanism. Rao et al.…
Compared to the straight optimization of a non-transition state system to a ground state, transition states are more numerically sensitive and take more time to calculate. To achieve this level of accuracy, we continuously modified second derivative (force constants and frequencies)…
which will simultaneously upgrade the voltage at every bus, following methodology is opted which also includes the calculation of required shunt compensation. There are two cases: Case 1: Base case The problem formed is a non linear constrained optimization problem. Interior point method is used to solve this problem. The interior-point approach to constrained minimization is to solve a sequence of approximate minimization problems. It reaches a best solution by traversing the interior of the…
MORAL DILEMMA Ant and Grasshopper Stephanie Gardner Should the ant give food to the grasshopper? Yes and no. Now I say both for a variety of different reasons. I have a feeling that the ant in this situation is not mean enough to just let the grasshopper go hungry. But is the grasshopper allowed to just get off without any punishment for not working hard? This is a classic argument of mercy verses justice. The ant can't show the grasshopper the mercy that he desires and at the same time have…
In real life, Linear programming is part of a very crucial area of math called "optimization techniques". This field of study is used daily in the allocation and organization of resources. These "real life" systems can range from having dozens to hundreds of variables, or even way more. If you compare algebra to linear programming, in…
Simulation In this study, optimisation of both parameters together with energy performance assessment of the mechanical ventilated PV façade system are conducted using TRNSYS. The schematic diagram of the components used to simulate the system is provided in Figure 2. The façade is part of a prototypical daylit cellular office building that is represented by Type 56 in Figure 2. This built form is chosen because it accounts for more than 67% of office buildings in England and Wales [25]. The…
It is inserted into the equation simply to give a positive solution at the origin; we are artificially creating a solution: 2x1 + 4x2 - s1 + A1 = 16 2(0) + 4(0) - 0 + A1 = 16 A1 = 16 The artificial variable is somewhat analogous to a booster rocket—its purpose is to get us off the ground; but once we get started, it has no real use and thus is discarded. The artificial solution helps get the simplex process started, but we do not want it to end up in the optimal solution, because it has no real…
5. Hopf-Andronov-Poincare bifurcation In this section, we shall show that the system (2) undergoes a Hopf-Andronov-Poincare bifurcation by using as a bifurcation real parameter. Without loss of generality, suppose that is a function of and . Then system (2) becomes (29) with . System (29) can be written as (30) where , and is the bifurcation real parameter. The function is a on an open set in . Let be the set of equilibria of system…
In this chapter an overview on the Bee Colony Optimization (BCO) method is presented. In the first introductory section the development of the BCO algorithm is given, with an overview on history of mathematical model based on discovered behavior patterns in bees in early 1940s. The aim here is to remind of first steps made in solving of optimization problems by BCO and what kind of changes were performed to obtain the current versions of the BCO method. In the second section two variants of the…
4 The Simplex Method As we have seen, a linear programming problem forms a convex polygon in the best possible scenario. It is imperative to obtain a process that would assist in determining the optimal solution without the need to examine the graphical representation. The need for an algorithm that would perform such process was essential in the early days of the formulations of linear programming problems. Although challenging, the task was accomplished by a mathematician of the twentieth…