Abstract Teaching-Learning-Based Optimization (TLBO) algorithm was developed to solve
single-objective optimization problems. TLBO is inspired by the theory of teaching-learning …

Feature selection plays an important role in almost any data mining application especially in
medical data mining to solve the problem of 'curse of dimensionality'and provide early …

The permeability coefficient (k‐value) of the soil is an important parameter used in the civil
engineering design of roads, tunnels, dams, and other structures. However, the …

Teaching learning‐based optimization (TLBO) was proposed by Rao to solve optimization
problems. It is based on the theory of teaching‐learning mechanism. Although it performs …

Shelf space is a scarce and expensive resource in the retail industry because a large
number of products compete for limited display space. Thus, shelf-space allocation is …

At present, workflow scheduling in cloud computing environment is still a challenging
optimization topic due to its NP-complete characteristics. In order to obtain better scheduling …

In the brick manufacturing industry, there is a growing concern among researchers to find
solutions to reduce energy consumption. An industrial process for obtaining bricks was …

Teaching‐learning‐based optimization (TLBO) algorithm is a population‐based meta‐
heuristic algorithm that was created to solve single‐objective optimization problems. The …

This paper presents an improved nature-based algorithm, namely multivariable modified
teaching learning based optimization (MM-TLBO) algorithm, as in an iterative process can …

Abstract Localized Frequency Division Multiple Access (LFDMA) systems are gaining
attention because of its low Peak to Average Power Ratio (PAPR). Selective Mapping (SLM) …