Large-scale multi-objective optimization problems (LS-MOP) are complex problems with a large number of decision variables. Due to its high-dimensional decision space, LS-MOP poses a significant challenge to multi-objective optimization methods including multiobjective evolutionary algorithms (MOEAs). Following the algorithmic framework of multiobjective evolutionary algorithm based on decomposi...

With the expansion of new energy vehicle market, electric batteries (EVBs) have entered a massive retirement wave. The strategic level facility location and configuration decisions tactical multi-product flow multi-technology selection been integrated into sustainable reverse logistics network (SRLN). In this paper, we considered multiple kinds waste (WEVBs) with recycling technology constructe...

In this paper we examine the build order problem in real-time strategy (RTS) games in which the objective is to optimize execution of a strategy by scheduling actions with respect to a set of subgoals. We model the build order problem as a multi-objective problem (MOP), and solutions are generated utilizing a multiobjective evolutionary algorithm (MOEA). A three dimensional solution space is pr...

Cognitive radio (CR) is a promising technology for addressing resource scarcity in wireless networks. However, the current CR-based framework, when availability changes, existing allocation algorithms restart optimization process without using historical information. In addition, most previous studies have focused on one or two objectives and some only addressed pure power control spectrum allo...

Wireless sensor networks are emerging and involved in a wide range of applications. Improving energy efficiency is significant task WSNs. Energy consumption crucial problem that affects the network lifetime due to limitations nodes. So, it's required introduce more energy-efficient protocols for Different types solutions exist The optimized controlled if clustering an efficient data collection ...

Emerging clinical and preclinical evidence suggests that a compound displaying high affinity for μ, κ, and δ opioid (MOP, KOP, and DOP) receptors and antagonist activity at each, coupled with moderate affinity and efficacy at nociceptin opioid peptide (NOP) receptors will have utility as a relapse prevention agent for multiple types of drug abuse. Members of the orvinol family of opioid ligands...