Abstract Hybrid meta-heuristics algorithms have gained popularity in recent years to solve t-way test suite generation problems due better exploration and exploitation capabilities of the hybridization. This paper presents implementation meta-heuristic search that are Migrating Birds Optimization (MBO) algorithm Genetic Algorithm (GA) hybrid a data strategy. The proposed strategy is called Elit...

We employ local meta-models to enhance the efficiency of evolution strategies in the optimization of computationally expensive problems. The method involves the combination of second order local regression meta-models with the Covariance Matrix Adaptation Evolution Strategy. Experiments on benchmark problems demonstrate that the proposed meta-models have the potential to reliably account for th...

The Affective Meta-Tutoring system is comprised of (1) a tutor that teaches system dynamics modeling, (2) a meta-tutor that teaches good strategies for learning how to model from the tutor, and (3) an affective learning companion that encourages students to use the learning strategy that the metatutor teaches. The affective learning companion’s messages are selected by using physiological senso...

A new meta-heuristic algorithm to find the minimum height for twodimensional strip rectangular packing problem is presented. This algorithm is mainly based on the heuristic recursive strategy and simulated annealing algorithm. The computational results on a class of benchmark problems have shown that this algorithm not only finds shorter height than known meta-heuristic but also runs in shorter...

We present in this paper the architecture of MetaTutor, an intelligent tutoring system that teaches students meta-cognitive strategies while learning about complex science topics. A more in-depth presentation of the micro-dialogue component in MetaTutor is provided. This component handles the meta-cognitive strategy of subgoal generation. This strategy involves subgoal assessment and feedback g...

In this paper we present a meta strategy that combines two negotiation tactics. The first one based on concessions, and the second one, a tradeoff tactic. The goal of this work is to demonstrate by experimental analysis that the combination of different negotiation tactics allows agents to improve the negotiation process and as a result, to obtain more satisfactory agreements. The scenario prop...

Meta-strategic Knowledge (MSK) is a sub-component of metacognition that is defined in the present study as general, explicit knowledge about thinking strategies. In the present study we shall focus on the control of variables thinking strategy. Following an earlier study (Zohar & Peled 2007) that showed considerable effects of explicit instruction of MSK in laboratory setting, this study explor...

Background: Social distance, which is linked with negative emotional impacts, is one strategy to avoid coronary heart disease, particularly for single parents and their children. The purpose of this research was to see how helpful filial therapy and cognitive-behavioral art-play therapy are for single mothers' emotional perspectives. Methods: A quasi-experimental study was conducted with three...

Entity resolution constitutes a crucial task for many applications, but has an inherently quadratic complexity. In order to enable entity resolution to scale to large volumes of data, blocking is typically employed: it clusters similar entities into (overlapping) blocks so that it suffices to perform comparisons only within each block. To further increase efficiency, Meta-blocking is being used...

We integrate a logic programming language into Meta-S, a flexible and extendable constraint solver cooperation system, by treating resolution as constraint solver. This new approach easily yields a CLP language with support for solver cooperation. Applying the strategy definition framework of Meta-S we define classical search strategies and more sophisticated ones, that allow an efficient evalu...