Many real-world problems are dynamic optimization problems that are unknown beforehand. In practice, unpredictable events such as the arrival of new jobs, due date changes, and reservation cancellations, changes in parameters or constraints make the search environment dynamic. Many algorithms are designed to deal with stationary optimization problems, but these algorithms do not face dynamic optimization problems or manage them correctly. Although some optimization algorithms are proposed to deal with the changes in dynamic environments differently, there are still areas of improvement in existing algorithms due to limitations or drawbacks, especially in terms of locating and following the previously identified optima. With this in mind, we studied a variant of SSA known as QSSO, which integrates the principles of quantum computing. An attempt is made to improve the overall performance of standard SSA to deal with the dynamic environment effectively by locating and tracking the global optima for DOPs. This work is an extension of the proposed new algorithm QSSO, known as the Quantum-inspired Chaotic Salp Swarm Optimization (QCSSO) Algorithm, which details the various approaches considered while solving DOPs. A chaotic operator is employed with quantum computing to respond to change and guarantee to increase individual searchability by improving population diversity and the speed at which the algorithm converges. We experimented by evaluating QCSSO on a well-known generalized dynamic benchmark problem (GDBG) provided for CEC 2009, followed by a comparative numerical study with well-regarded algorithms. As promised, the introduced QCSSO is discovered as the rival algorithm for DOPs.

Fox News Flash top headlines for Jan. 3 are here. Check out what's clicking on Foxnews.com The U.S. men's soccer team announced Friday that it had canceled plans to train in Qatar later this month following the death of Iranian general Qassem Soleimani in an American drone strike. "Due to the developing situation in the region, U.S. Soccer has decided to postpone traveling to Qatar for the Men's National Team scheduled January training camp," the U.S. Soccer Federation said in a statement. "In the meantime, we are working on alternative arraignments in preparation for the match against Costa Rica on February 1 at Dignity Health Sports Park in Carson, Calif." "We are working with the Qatar Football Association to find an opportunity in the near future for our team to experience Qatar's world-class facilities and hospitality," the statement concluded.

Dec 22, 2018; Carson, CA, USA; Los Angeles Chargers defensive end Joey Bosa (99) looks on before the game against the Baltimore Ravens at StubHub Center. You don't know a lateral from a screen pass or the difference between a tight end and wide receiver. And what the heck does "three men in a box," "RPO" "nickel defense" or the "coffin corner" mean? Your significant other is fixated on watching the NFL playoffs that kick off this weekend. And if you're going to spend any meaningful time with your honey, then you best watch, too.

Saving energy is a major concern. Hence, it is fundamental to design and construct buildings that are energy-efficient. It is known that the early stage of architectural design has a significant impact on this matter. However, it is complex to create designs that are optimally energy efficient, and at the same time balance other essential criterias such as economics, space, and safety. One state-of-the art approach is to create parametric designs, and use a genetic algorithm to optimize across different objectives. We further improve this method, by aggregating the solutions of multiple agents. We evaluate diverse teams, composed by different agents; and uniform teams, composed by multiple copies of a single agent. We test our approach across three design cases of increasing complexity, and show that the diverse team provides a significantly larger percentage of optimal solutions than single agents.