An enhanced dynamic differential annealed algorithm for global optimization and feature selection

Hussien Abdelazim G,Kumar Sumit,Singh Simrandeep,Pan Jeng-Shyang,Hashim Fatma A 한국CDE학회 2024 Journal of computational design and engineering Vol.11 No.1

Dynamic differential annealed optimization (DDAO) is a recently developed physics-based metaheuristic technique that mimics the classical simulated annealing mechanism. However, DDAO has limited search abilities, especially when solving complicated and complex problems. A unique variation of DDAO, dubbed as mDDAO, is developed in this study, in which opposition-based learning technique and a novel updating equation are combined with DDAO. mDDAO is tested on 10 different functions from CEC2020 and compared with the original DDAO and nine other algorithms. The proposed mDDAO algorithm performance is evaluated using 10 numerical constrained functions from the recently released CEC 2020 benchmark suite, which includes a variety of dimensionally challenging optimisation tasks. Furthermore, to measure its viability, mDDAO is employed to solve feature selection problems using fourteen UCI datasets and a real-life Lymphoma diagnosis problem. Results prove that mDDAO has a superior performance and consistently outperforms counterparts across benchmarks, achieving fitness improvements ranging from 1% to 99.99%. In feature selection, mDDAO excels by reducing feature count by 23% to 79% compared to other methods, enhancing computational efficiency and maintaining classification accuracy. Moreover, in lymphoma diagnosis, mDDAO demonstrates up to 54% higher average fitness, 18% accuracy improvement, and 86% faster computation times.

A multi-strategy enhanced African vultures optimization algorithm for global optimization problems

Zheng Rong,Hussien Abdelazim G,Qaddoura Raneem,Jia Heming,Abualigah Laith,Wang Shuang,Saber Abeer 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.1

The African vultures optimization algorithm (AVOA) is a recently proposed metaheuristic inspired by the African vultures’ behaviors. Though the basic AVOA performs very well for most optimization problems, it still suffers from the shortcomings of slow convergence rate and local optimal stagnation when solving complex optimization tasks. Therefore, this study introduces a modified version named enhanced AVOA (EAVOA). The proposed EAVOA uses three different techniques namely representative vulture selection strategy, rotating flight strategy, and selecting accumulation mechanism, respectively, which are developed based on the basic AVOA. The representative vulture selection strategy strikes a good balance between global and local searches. The rotating flight strategy and selecting accumulation mechanism are utilized to improve the quality of the solution. The performance of EAVOA is validated on 23 classical benchmark functions with various types and dimensions and compared to those of nine other state-of-the-art methods according to numerical results and convergence curves. In addition, three real-world engineering design optimization problems are adopted to evaluate the practical applicability of EAVOA. Furthermore, EAVOA has been applied to classify multi-layer perception using XOR and cancer datasets. The experimental results clearly show that the EAVOA has superiority over other methods.

A modified smell agent optimization for global optimization and industrial engineering design problems

Wang Shuang,Hussien Abdelazim G,Kumar Sumit,AlShourbaji Ibrahim,Hashim Fatma A 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.6

This paper introduces an Improved Smell Agent Optimization Algorithm (mSAO), a new and enhanced metaheuristic designed to tackle complex engineering optimization issues by overcoming the shortcomings of the recently introduced Smell Agent Optimization Algorithm. The proposed mSAO incorporates the jellyfish swarm active–passive mechanism and novel random operator in the elementary SAO. The objective of modification is to improve the global convergence speed, exploration–exploitation behaviour, and performance of SAO, as well as provide a problem-free method of global optimization. For numerical validation, the mSAO is examined using 29 IEEE benchmarks with varying degrees of dimensionality, and the findings are contrasted with those of its basic version and numerous renowned recently developed metaheuristics. To measure the viability of the mSAO algorithm for real-world applications, the algorithm was employed to solve to resolve eight challenges drawn from real-world scenarios including cantilever beam design, multi-product batch plant, industrial refrigeration system, pressure vessel design, speed reducer design, tension/compression spring, and three-bar truss problem. The computational analysis demonstrates the robustness of mSAO relatively in finding optimal solutions for mechanical, civil, and industrial design problems. Experimental results show that the suggested modifications lead to an improvement in solution quality by 10–20% of basic SAO while solving constraint benchmarks and engineering problems. Additionally, it contributes to avoiding local optimal stuck, and premature convergence limitations of SAO and simultaneously.

Accuracy of Sentinel Node in Detecting Lymph Node Metastasis in Primary Endometrial Carcinoma

Farghali, Mohamed M,Allam, Ihab S,Abdelazim, Ibrahim A,El-Kady, Osama S,Rashed, Ahmed R,Gareer, Waheed Y,Sweed, Mohammed S Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.15

Background: Endometrial carcinoma is the most common gynecological cancer and its treatment is still controversial, especially in its early stages. There are conflicting data about the efficacy of retroperitoneal lymphadenectomy during abdominal hysterectomy and bilateral salpingoophrectomy treatment. Lymphadenectomy carries a risk of severe complications, especially in women with co-morbidities. Selective lymphadenectomy has been widely employed for staging evaluation of endometrial carcinoma because it is simple and seems to provide reliable data regarding nodal metastasis. This study was designed to evaluate accuracy of sentinel node sampling in detecting lymph node metastasis in primary endometrial carcinoma during staging laparotomy. Materials and Methods: Ninety-three women with endometrial carcinoma at high-risk for nodal metastasis were studied. During laparotomy, methylene blue dye was injected into sub-serosal myometrium, then retroperitoneal spaces were opened and blue lymph nodes within pelvic and para-aortic regions were removed as separate specimens for histopathological examination (sentinel lymph nodes = SLNs). Hysterectomy and selective lymphadenectomy then performed for all women included in this study. Results: Deposition of methylene dye into at least one lymph node was observed in 73.1% (68/93) of studied cases. 18.3% (17/93) of studied women had positive lymph node metastasis and 94.1% (16/17) of them had positive metastasis in SLNs. In this study, SNLs had 94.4% sensitivity and 100% specificity in prediction of lymph node metastasis. Mean number of lymph nodes removed from each case decreased when SLNs biopsy were taken. Conclusions: SLNs are the key lymph nodes in endometrial tumor metastasis and their involvement could be an indicator for whether or not complete systematic lymphadenectomy is needed during staging laparotomy.

Cylindropuntia rosea (DC.) Backeb, (Cactaceae): a new generic alien record in the flora of Saudi Arabia

Sami Asir Al-Robai,Saad Mohammed Howladar,Haidar Abdalgadir Mohamed,Abdelazim Ali Ahmed 국립중앙과학관 2018 Journal of Asia-Pacific Biodiversity Vol.11 No.2

Cylindropuntia rosea (DC.) Backeb. (Cactaceae) is a cactus and invasive species native to Mexico. This is the first record of the genus in Saudi Arabia. The alien species was found near Jebel Hizna, Baljurashi region, southwestern Saudi Arabia. Information about the species' habitat, distribution, and morphological description and its illustration are presented. The presence of Cylindropuntia rosea increased the probability of finding other species belonging to the genus Cylindropuntia in the country. However, if this species gets established in different areas of the Kingdom, it could become a serious invasive plant that has negative impacts on livestock and human. Therefore, tracking and controlling the invasion of this species is recommended.

Development and Validation of a Rapid Immunochromatographic Assay for Detection of Middle East Respiratory Syndrome Coronavirus Antigen in Dromedary Camels

Song, Daesub,Ha, Gunwoo,Serhan, Wissam,Eltahir, Yassir,Yusof, Mohammed,Hashem, Farouq,Elsayed, Elsaeid,Marzoug, Bahaaeldin,Abdelazim, Assem,Al Muhairi, Salama American Society for Microbiology 2015 Journal of clinical microbiology Vol.53 No.4

<P>We present here a rapid immunochromatographic assay for the detection of Middle East respiratory syndrome coronavirus (MERS-CoV) antigen in the nasal swabs of dromedary camels. The assay is based on the detection of MERS-CoV nucleocapsid protein in a short time frame using highly selective monoclonal antibodies at room temperature. The relative sensitivity and specificity of the assay were found to be 93.90% and 100%, respectively, compared to that of the UpE and open reading frame 1A (Orf1A) real-time reverse transcriptase PCR (RT-PCR). The results suggest that the assay developed here is a useful tool for the rapid diagnosis and epidemiological surveillance of MERS-CoV infection in dromedary camels.</P>