Aim of this paper is to search and find ways and methods of constructivism teaching and learning ideas inteaching the architectural design studio. The objective is to extract all the positive things constructivism has to offer the architectural design studio for efficient teaching and effective learning. Although there are similarities in the curricula of training architects all over the world,...

Major dependence structure mining tasks are overviewed from a general statistical learning perspective. Bayesian Ying Yang (BYY) harmony learning has been introduced as a unified framework for mining these dependence structures, with new mechanisms for model selection and regularization on a finite size of samples. Main results are summarized and bibliographic remarks are made. Two typical appr...

Harmony search algorithm is a heuristic optimization method inspired from the improvisation process of musicians. A new version of harmony search algorithm with chaos is proposed. This algorithm initializes and updates the harmony memory with the chaos optimization algorithm based on secondary carrier wave, adjusts the parameters dynamically to improve the convergence rate and optimization accu...

This paper describes a new variant of harmony search algorithmwhich is inspired by awell-known item “elite decision making.” In the new algorithm, the good information captured in the current global best and the second best solutions can be well utilized to generate new solutions, following some probability rule. The generated new solution vector replaces the worst solution in the solution set,...

Dynamic optimization problems present great challenges to the research community because their parameters are either revealed or changed during the course of an ongoing optimization process. These problems are more challenging than static problems in real-world applications because the latter are usually dynamic, with the environment constantly subjected to change or the size of a problem incre...

A novel optimization algorithm named teaching-learning-based optimization (TLBO) algorithm and its implementation procedure were presented in this paper. TLBO is a meta-heuristic method, which simulates the phenomenon in classes. TLBO has two phases: teacher phase and learner phase. Students learn from teachers in teacher phases and obtain knowledge by mutual learning in learner phase. The suit...

Learning compact hash codes has been a vibrant research topic for large-scale similarity search owing to the low storage cost and expedited search operation. A recent research thrust aims to learn compact codes jointly from multiple sources, referred to as cross-view (or cross-modal) hashing in the literature. The main theme of this paper is to develop a novel formulation and optimization schem...

In this paper, a novel Harmony Search algorithm (HSA) based approach for robust and optimal design of PID controller connected to power system stabilizer (PSS) is proposed for damping low frequency power oscillations of a single machine infinite bus bar (SMIB) power system. This paper attempts to optimize the three parameters (Kp, Ki, Kd) of PID-PSS via a music-based metaheuristic optimization ...

This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer sett...