Sarker, R., and Abbass, H.A., Differential evolution for solving multiobjective optimization problems, Asia-Pacific Journal of Operational Research, 21, 2, 225-240, 2004.Sarker, R., H.A.A. (2004). Differential evolution for solving multi-objective optimization problems. [AP- JOR]. Asia-...
Real optimization problems often involve not one, but multiple objectives, usually in conflict. In single-objective optimization there exists a global optimum, while in the multi-objective case no optimal solution is clearly defined but rather a set of optimums, which constitute the so called ...
Soh et al., 2017] T. Soh, M. Banbara, N. Tamura, and D. Le Berre. Solving Multiobjective Discrete Optimization Problems with Propositional Minimal Model Generation. In International Conference on Principles and Practice of Constraint Programming, pages 596-614. Springer, 2017....
Solving Multiobjective Optimization Problems using Evolutionary Algorithm Ruhul Sarker, Hussein A. Abbass, and Charles Newton School of Computer Science, University of New South Wales, ADFA Campus,Northcott Drive, Canberra 2600, Australia, {r.sarker,h.abbass,c.newton}@adfa.edu.au ...
Evolutionary techniques have become one of the most powerful tools for solving multiobjective optimization (MOO) problems. However the computational cost i... KC Tan,YJ Yang,TH Lee - Congress on Evolutionary Computation 被引量: 338发表: 2004年 Preference-Inspired Coevolutionary Algorithms for Many-...
This paper scratches the surface of EMO-based solution methodologies for bilevel multi-objective optimization problems and should motivate other EMO researchers to engage more into this important optimization task of practical importance. 展开 会议名称: Evolutionary Multi-Criterion Optimization, 5th ...
Mixed integer linear programming deals with problems where only some of the variables are integers, while other variables can be nonintegers. Finally, nonlinear programming methods are designed to solve optimization problems some of the constraints or objective functions are nonlinear. For a more ...
quantumalgorithm;multi—objectiveoptimizationimmunealgorithm;WCDMAnetwork; basestationlocation;optimiztionproject WCDMA网络基站选址优化问题是一个约 束多目标优化问题.目前,基站选址优化问题引起 了国内外学者关注. 文献[1]对4种常用的多目标遗传算法在求 解WCDMA网络基站选址问题方面的表现进行 了比较和评估.文献E2]...
A comprehensive survey of multi-objective scheduling problems is in preparation [9]. For a multi-objective optimization problem (P)minX∈Dzk(X),k=1,…,K,where functions zk are the objectives, X the vector of variables and D the set of feasible solutions (D is discrete in case of ...
Due to the curse of dimensionality of search space, it is extremely difficult for evolutionary algorithms to approximate the optimal solutions of large-scale multiobjective optimization problems (LMOPs) by using a limited budget of evaluations. If the Pareto-optimal subspace is approximated during the...