An evolutionary algorithm can be used by a distributed group of interacting people to produce the solution to a problem. First the problem must be defined. Each member of the grou...
Abstract. Many real-world optimization problems have several, usually conflicting objectives. Evolutionary multi-objective optimization usually solves this predicament by searchin...
To improve solution robustness, we introduce the concept of super solutions to constraint programming. An (a, b)-super solution is one in which if a variables lose their values, th...
An adaptation phase is crucial for a good and reasonable Case-Based Planning (CBP) system. The adaptation phase is responsible for finding a solution in order to solve a new proble...
Bids submitted in auctions are usually treated as enforceable commitments in most bidding and auction theory literature. In reality bidders often withdraw winning bids before the ...
In this paper, the problem of bus-driven floorplanning is addressed. Given a set of blocks and the bus specification (the width of each bus and the blocks that the bus need to g...
We introduce the use of negative preferences to produce solutions that are acceptable to a group of users. Using negative preference profiling, a system determines which solution...
Dennis L. Chao, Justin Balthrop, Stephanie Forrest
One approach to tractably finding a solution to an NP-complete optimisation problem is heuristic, where the solution is inexact but quickly found; another approach is to reduce t...
Secure routing in wireless sensor networks (WSN) is a crucial problem that has drawn the attention of researchers. The motivation for tackling this problem comes directly from the...
— Defensive islanding is an efficient way to avoid catastrophic failures and wide area blackouts. Power system splitting especially for large scale power systems is a combinatori...
Wenxin Liu, David A. Cartes, Ganesh K. Venayagamoo...