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In the past decades, different kinds of metaheuristic optimization algorithms [1, 2] have been developed; Simulated Annealing (SA) [3, 4], Evolutionary Algorithms (EAs) [5–7], Differential Evolution… (More)
- Mohammad Nabi Omidvar, Xiaodong Li, Yi Mei, Xin Yao
- IEEE Transactions on Evolutionary Computation
- 2014
Cooperative co-evolution has been introduced into evolutionary algorithms with the aim of solving increasingly complex optimization problems through a divide-and-conquer paradigm. In theory, the idea… (More)
- Xiaodong Li
- GECCO
- 2003
This paper introduces a modified PSO, Non-dominated Sorting Particle Swarm Optimizer (NSPSO), for better multiobjective optimization. NSPSO extends the basic form of PSO by making a better use of… (More)
- Daniel Parrott, Xiaodong Li
- IEEE Transactions on Evolutionary Computation
- 2006
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighborhood best values for solving multimodal optimization problems and for tracking multiple… (More)
- Xiaodong Li
- IEEE Transactions on Evolutionary Computation
- 2010
Niching is an important technique for multimodal optimization. Most existing niching methods require specification of certain niching parameters in order to perform well. These niching parameters,… (More)
- Xiaodong Li, Xin Yao
- IEEE Transactions on Evolutionary Computation
- 2012
This paper presents a new cooperative coevolving particle swarm optimization (CCPSO) algorithm in an attempt to address the issue of scaling up particle swarm optimization (PSO) algorithms in solving… (More)
- Xiaodong Li
- GECCO
- 2005
In this paper differential evolution is extended by using the notion of speciation for solving multimodal optimization problems. The proposed species-based DE (SDE) is able to locate multiple global… (More)
- Xiaodong Li
- GECCO
- 2004
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighbourhood best values, for solving multimodal optimization problems. In the proposed… (More)
Evolutionary Algorithms (EAs) in their original forms are usually designed for locating a single global solution. These algorithms typically converge to a single solution because of the global… (More)
- Antony W. Iorio, Xiaodong Li
- Australian Conference on Artificial Intelligence
- 2004
This paper demonstrates that the self-adaptive technique of Differential Evolution (DE) can be simply used for solving a multiobjective optimization problem where parameters are interdependent. The… (More)