This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …

In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …

The complex structure and harsh working environment of wind turbines cause frequent
failures and unavailability of these turbines in wind farms. To promote the long-term stable …

In this paper, we propose the modification of an existing Multi-Objective Evolutionary
Algorithm (MOEA) known as Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

This paper introduces a time-cost trade-off optimization model developed for Indian highway
construction projects, leveraging the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) …

The cochannel deployment of femtocells in a macrocell network is a cost-effective and
efficient way to increase network coverage and capacity. However, such deployment is …

Technologies are generally described to provide multi-objective dynamic resource
optimization for self-organizing networks. In some examples, a system employing dynamic …

The construction industry faces the critical challenge of balancing project time, cost, and
carbon emissions to achieve sustainable development. This study introduces a Time–Cost …

In order to reduce the energy consumption of deep-sea self-sustaining profile buoy (DSPB)
and extend its running time, a stage quantitative oil draining control mode has been …