The recycling of retired new energy vehicle power batteries produces economic benefits and
promotes the sustainable development of environment and society. However, few attentions …

Slime mold algorithm (SMA) is a nature-inspired algorithm that simulates the biological
optimization mechanisms and has achieved great results in various complex stochastic …

This study compares the performance of the optimal installation of solar-assisted combined
cooling, heating, and power system (CCHP) running different strategies using the energy …

Developing novel vehicular hybrid power systems (VHPSs) and optimizing control strategies
are crucial directions for achieving electrified transportation development. This paper …

With the rapid development of underground spaces and manned cabins, the design of
enclose-space has received attention. Humans working in enclosed-space for a long period …

For large-scale multi-objective optimization problems, the search space becomes
exceptionally vast, resulting in increased complexity in the search process. The search …

Energy-efficient building design is often challenged by multiple optimization problems due to
contradictory objectives that are often hard to balance, so an effective optimization method …

Algorithms designed to solve dynamic multi-objective optimization problems (DMOPs) need
to consider all of the multiple conflicting objectives to determine the optimal solutions …

In the design of multiobjective particle swarm optimization (MOPSO) algorithms, swarm
leaders, ie, the personal best (pbest) and global best (gbest), are expected to guide the …

Grain security is the foundation for national stability and prosperity. In China, grain
production depends heavily on irrigation water, direct energy for machinery use, and indirect …