This paper is a study on the effect of caste on bench assignments on the Indian Supreme Court. The objective was to determine whether the Chief Justices have historically assigned associate justices to benches based on their individual castes – Brahmin or Non-Brahmin – in order to tilt the bias of the Court in either an elitist (Brahmin) direction or a non-elitist (Non-Brahmin) direction. Based...

Abstract Considering recent re-assessments of Pareto and Mosca, I discuss whether these thinkers’ socio-political orientations contribute to the ‘disfiguration’ democracy (in: Urbinati, Democracy disfigured: opinion, truth, people, Harvard, Cambridge, MA, 2014) or provide a resource for renewal democratic institutions. Femia (Pareto political theory, Routledge, Abingdon, 2006) presents as being...

This paper introduces a novel multi-objective evolutionary algorithm based on cat swarm optimizationalgorithm (EMCSO) and its application to solve a multi-objective knapsack problem. The multi-objective optimizers try to find the closest solutions to true Pareto front (POF) where it will be achieved by finding the less-crowded non-dominated solutions. The proposed method applies cat swarm optim...

The genetic algorithm (GA) proposed by J. Holland [10] is a randomized heuristic search method, based on analogy with the genetic mechanisms observed in nature and employing a population of tentative solutions. Different modifications of GA are widely used in the areas of operations research pattern recognition, artificial intelligence etc. (see e.g. [13, 16]). Despite of numerous experimental ...

MOEA/D multi-objective optimization algorithm features the shortcoming of losing partial of the excellent individuals when it updates sub-problems and its inefficiency of convergence speed. In order to overcome such shortcoming, we propose a multi-objective evolutionary optimization algorithm based on adaptive epsilon-domination and random elitist strategy in this paper. This algorithm uses arc...

Genetic Algorithm (GA) is a stochastic randomized blind search and optimization technique based on evolutionary computing that has already been proved to be robust and effective from its outcome in solving problems from variety of application domains. Clustering is a vital technique to extract meaningful and hidden information from the datasets. Clustering techniques have a broad field of appli...

Assigning virtual network resources to physical network components, called Virtual Network Embedding, is a major challenge in cloud computing platforms. In this paper, we propose a memetic elitist pareto evolutionary algorithm for virtual network embedding problem, which is called MEPE-VNE. MEPE-VNE applies a non-dominated sortingbased multi-objective evolutionary algorithm, called NSGA-II, to ...