This paper presents a new metaheuristic optimization algorithm, the firefly algorithm (FA),
and an enhanced version of it, called chaos mutation FA (CMFA), for solving power …

The aim of this research work is to resolve the economic, emission and multi-objective
scheduling problem (MOSP) of the integrated energy system (IES). The integrated energy …

In this study, we compare the performance of optimization software to solve the bi-objective
sectorization problem. The used solution method is based on an approach that has not been …

This paper presents an adaptive predator–prey optimization (APPO) to solve multiobjective
thermal power dispatch problem considering objectives of operating cost and pollutant …

Globally, the power generation from renewable energy sources (RES) has received
considerable attention to reduce pollutant emissions and the total operating costs of power …

This paper deals with a non-interactive approach to solve multi-objective thermal power load
dispatch (MTPLD), where either decision maker is not involved or preference information is …

The aim of the current paper is to present a mimetic algorithm called the chaotic evolutionary
programming Powell's pattern search (CEPPS) algorithm for the solution of the multi-fuel …

The rational utilization of the characteristics of sediment resources to achieve the optimal
allocation of sediment resources is a key problem that must be solved urgently for ecological …

Companies have sought better alignment among the organization's strategic objectives,
technology management, and sustainability management using process optimization …

This paper first explores the basic process and characteristics of the intelligent algorithm,
calculates its fitness function after setting and initializing the intelligent algorithm population …