A growing trend of introducing new metaheuristic algorithms and their improvements is
observed with almost the same inherited weaknesses. The main reason is that a few studies …

Colon adenocarcinoma (COAD) is a type of colon cancers with a high mortality rate. Its early
symptoms are not obvious, and its late stage is accompanied by various complications that …

Over the past years, the use of renewable energy sources (RESs) has grown significantly as
a means of providing clean energy to counteract the devastating effects of climate change …

In this paper, a new bio-inspired metaheuristic algorithm called the Lyrebird Optimization
Algorithm (LOA) that imitates the natural behavior of lyrebirds in the wild is introduced. The …

This study proposes a modified Particle Swarm Optimization (PSO) algorithm based on
Hummingbird Flight (HBF) patterns to enhance the search quality and population diversity …

The paper addresses the limitations of the Moth-Flame Optimization (MFO) algorithm, a meta-
heuristic used to solve optimization problems. The MFO algorithm, which employs moths' …

Abstract Identifying models with Infinite Impulse Response (IIR) is crucial in signal
processing and system identification. This paper addresses the challenges of IIR model …

This work consolidates chaotic maps into a contemporary heuristic approach called Chimp
Optimization Algorithm (COA). Augmentation of ten chaotic maps to COA forms the hybrid …

This study introduces an enhanced self-adaptive wild goose algorithm (SAWGA) for solving
economical-environmental-technical optimal power flow (OPF) problems in traditional and …

The energy performance of a building has a significant impact on the environment as well as
the comfort of its occupants. Given that window systems and control elements such as …