SUNGROW Unveils iSolarDesign: A New Era of All-Scenario Smart Design Platform

MELBOURNE, Australia, Nov. 27, 2025 /PRNewswire/ -- Sungrow, the global leading PV inverter and energy storage system (ESS) ...
Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
IEEE

Optimization of Convolutional Neural Networks With Multi-Objective Function Metaheuristics for Melanoma Detection

Abstract: Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often ...
Frontiers

Multi-objective coordinated control and optimization for photovoltaic microgrid scheduling

1 Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, China 2 NARI Technology Co., Ltd., Nanjing, China The stability and economic dispatch efficiency of ...
IEEE

A Global Multi-Objective Bayesian Optimization Framework for Generic Machine Design Using Gaussian Process Regression

Abstract: Duringthe design of electrical machines, multiple performance objectives need to be considered. Although stochastic optimization algorithms are extensively employed for this purpose, a ...
Scientific Research Publishing

Collette, Y. and Siarry, P. (2009) Multi-Objective Optimization: Principles and Case Studies (Decision Engineering). Springer-Verlag, Berlin.

ABSTRACT: A multi-objective optimization problem has two or more objectives to be minimized or maximized simultaneously. It is usually difficult to arrive at a solution that optimizes every objective.