Research Articles
Dandelion Algorithm vs. Genetic Algorithm: A New Paradigm for Cost Reduction in Drug Discovery
This article provides a comparative analysis for researchers and drug development professionals on the application of the Dandelion Optimizer (DO) and the Genetic Algorithm (GA) for cost reduction in biomedical...
A Comparative Study of Evolutionary Algorithms for Microgrid Optimization: Methodologies and Applications for Robust Energy Management
This article provides a comprehensive comparative analysis of advanced evolutionary algorithms for optimizing microgrid performance, with a special focus on methodologies applicable to the demanding, high-reliability environments of biomedical and...
Performance Analysis of Modern Differential Evolution Algorithms: Benchmarking on Unimodal and Multimodal Landscapes
This article provides a comprehensive performance analysis of modern Differential Evolution (DE) algorithms, with a focused examination of their efficacy on unimodal and multimodal function landscapes.
Statistical Comparison of Modern Differential Evolution Algorithms: Performance Analysis and Research Applications
This article provides a comprehensive statistical comparison of modern Differential Evolution (DE) algorithms, examining their mechanisms and performance across various problem domains.
Benchmarking Evolutionary Algorithms on CEC 2017 and CEC 2020 Test Suites: A Guide for Biomedical Research
This article provides a comprehensive framework for researchers and drug development professionals to effectively utilize the CEC 2017 and CEC 2020 benchmark suites for evaluating evolutionary algorithms (EAs).
Mutation Strategies in Evolution Strategies: A Comparative Analysis for Biomedical Optimization
This article provides a comprehensive analysis of mutation operators within Evolution Strategies (ES), a class of powerful optimization algorithms increasingly applied in complex biomedical research and drug development.
Benchmarking Optimization Algorithms: A Comprehensive Guide to CEC Test Suites and Performance Evaluation
This article provides a comprehensive guide for researchers and drug development professionals on evaluating optimization algorithm performance using Congress on Evolutionary Computation (CEC) benchmark functions.
Robust Optimization Under Input Disturbance Uncertainty: Methodologies and Applications in Drug Development
This article provides a comprehensive examination of robust optimization frameworks designed to manage input disturbance uncertainty, a critical challenge in pharmaceutical research and development.
Enhancing Diversity in Multi-Objective Evolutionary Optimization: Strategies for Robust Drug Discovery
This article addresses the critical challenge of maintaining solution diversity in Multi-Objective Evolutionary Algorithms (MOEAs), a key factor for success in complex, real-world optimization problems like drug discovery.
Balancing Exploration and Exploitation in Salp Swarm Algorithm: Strategies, Applications, and Advances for Complex Optimization
This article provides a comprehensive analysis of strategies to balance exploration and exploitation in the Salp Swarm Algorithm (SSA), a prominent swarm intelligence metaheuristic.