Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...

Both of the above stated objectives are inversely proportional to each other. The above stated problem is also an NP-hard problem [11]. So, genetic algorithm is a suitable candidate for solving the ...

Considering the undesirable characteristics of the balance shaft, such as cost, weight, friction, and noise, as well as dynamically inappropriate mass unbalancing method, this research proposes ...

Multi-objective optimization quickly presents an automated, big-picture view of possible choices, enabling users to optimize the supply chain with a broad view of business goals.

A fully-connected annealer extendable to a multi-chip system and featuring a multi-policy mechanism has been designed by Tokyo Tech researchers to solve a broad class of combinatorial optimization ...