Diverse forms of the concept of opposition are already existent in philosophy, linguistics, psychology and physics. The interplay between entities and opposite entities is apparently fundamental for balance maintenance in almost a universal manner. However, it seems that we have failed to incorporate oppositional thinking in engineering, mathematics and computer science. Especially, the set the...

This work presents an alternative to the conventional photovoltaic maximum power point tracking (MPPT) methods, by using opposition-based learning firefly algorithm (OFA) that improves performance of Photovoltaic (PV) system both in uniform irradiance changes and partial shading conditions. The is based on fireflies’ search for food, according which individuals emit progressively more intense g...

Aging is unpopular with the general public-but, it would seem, only up to a point. Treatments that claim (sometimes justifiably) to extend the total and/or healthy life span of elderly people, or even just make them look younger, are welcomed with open wallets throughout the world. If, however, one suggests to the typical nonbiologist-or even to the typical nongerontologist biologist-that we sh...

Diversification-Based Learning (DBL) derives from a collection of principles and methods introduced in the field of metaheuristics that have broad applications in computing and optimization. We show that the DBL framework goes significantly beyond that of the more recent Opposition-based learning (OBL) framework introduced in Tizhoosh (2005), which has become the focus of numerous research init...

This paper presents the application of enhanced opposition-based firefly algorithm in obtaining the optimal battery energy storage systems (BESS) sizing in photovoltaic generation integrated radial distribution network in order to mitigate the voltage rise problem. Initially, the performance of the original firefly algorithm is enhanced by utilizing the opposition-based learning and introducing...

Recent patents and progress on scan chain balance algorithms have been reviewed. With a significant increase of the SoC (System on Chip) integration and scale, the test time of SoC increase dramatically, and this makes the test cost of SoC grow rapidly. In order to reduce test cost and expense, the paper proposes an OBBO (Opposition-based learning and Biogeography Based Optimization) algorithm ...

The Fireworks Algorithm is a recently developed swarm intelligence algorithm to simulate the explosion process of fireworks. Based on the analysis of each operator of Fireworks Algorithm (FWA), this paper improves the FWA and proves that the improved algorithm converges to the global optimal solution with probability 1. The proposed algorithm improves the goal of further boosting performance an...